<?xml version="1.0" encoding="utf-8"?>
<source>
  <publisher>Tech Talent · The Consulting Solutions</publisher>
  <publisherurl>https://portal.theconsultingsolutions.com</publisherurl>
  <lastBuildDate>Mon, 08 Jun 2026 19:42:01 GMT</lastBuildDate>
  <job>
    <title><![CDATA[Analista Funcional IT]]></title>
    <date>2026-05-26T16:05:49.296Z</date>
    <referencenumber>cmpmtucmo00017gqn7dobjtpb</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/analista-funcional-it-almeria-1779811549295</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Almería]]></city>
    <country>ES</country>
    <description><![CDATA[**Analista Funcional IT**

Buscamos un/a Analista Funcional IT para incorporarse a un equipo de transformación tecnológica en Almería, trabajando en proyectos de alto impacto con un modelo de 4 días presencial + 1 día remoto.

**Responsabilidades**
- Analizar aplicaciones y procesos para identificar mejoras funcionales
- Definir y documentar requisitos funcionales y técnicos
- Actuar como enlace entre negocio y equipos tecnológicos
- Participar en el diseño e implementación de soluciones
- Coordinar las fases de pruebas y validación
- Impulsar la mejora de procesos mediante automatización e inteligencia artificial

**Requisitos**
- Titulación en Ingeniería o equivalente
- Mínimo 5 años de experiencia en análisis funcional o implantación de soluciones IT
- Experiencia en gestión de requisitos y proyectos tecnológicos
- Conocimiento de modelado de procesos (BPMN/UML) y herramientas de prototipado
- Se valorará experiencia en entornos logísticos
- Inglés B2 mínimo

**Se ofrece**
- Proyecto estable con impacto real en negocio
- Participación en iniciativas de transformación tecnológica
- Oficinas modernas en PITA (Parque Tecnológico de Almería)
- Acceso gratuito al gimnasio
- Servicio de guardería
- Formación continua en tecnologías emergentes e IA aplicada
- Entorno colaborativo y equipo de alto nivel]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Functional Analysis]]></category>
    <remotetype>Hybrid</remotetype>
    <skills><![CDATA[Functional Analysis, BPMN, UML, Requirements Management, English B2, Logistics, Project Management]]></skills>
    <expirationdate>2026-07-25T16:05:49.296Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Consultor/a SAP ABAP / SCPI]]></title>
    <date>2026-03-17T18:23:40.516Z</date>
    <referencenumber>vabapscpi11</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/consultor-sap-abap-scpi-2026</url>
    <company><![CDATA[The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Spain]]></city>
    <country>ES</country>
    <description><![CDATA[🚀 Consultor/a SAP ABAP / SCPI | España

Buscamos un Consultor SAP ABAP / SCPI para proyectos de desarrollo e integración en arquitecturas SAP híbridas (on-premise + BTP). Rol de alto impacto con exposición internacional.

🎯 Qué harás
• Desarrollar soluciones SAP en ABAP/4 y ABAP OO
• Diseñar e implementar flujos de integración en SAP CPI
• Trabajar con iFlows, adapters (SOAP, REST, IDoc, OData) y mappings
• Customizing, debugging, performance tuning y pruebas unitarias
• Colaborar con consultores funcionales en diseño técnico
• Documentación de soluciones y desarrollos

🧠 Qué buscamos
• 3+ años desarrollando en SAP ABAP (ABAP/4, ABAP OO)
• Experiencia con SAP CPI / SCPI iFlows
• Conocimiento de patrones de integración (sync/async, colas, adapters)
• Familiaridad con ArchiveLink, OData, BAPIs, BAdIs (deseable)
• Castellano fluido, inglés intermedio

✨ Qué te ofrecemos
• Proyectos internacionales de alto impacto
• Modelo híbrido / remoto
• Formación continua (SAP BTP, S/4HANA)
• Salario competitivo + bonus por proyecto
• Plan de carrera en desarrollo SAP]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ABAP]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ABAP]]></skills>
    <expirationdate>2026-05-16T18:23:40.516Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Ingeniero/a Backend Senior (Java & Spring Boot)]]></title>
    <date>2026-05-26T16:06:30.113Z</date>
    <referencenumber>cmpmtv84g0001gk2q82c373tp</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ing-backend-senior-java-spring-almeria-1779811590112</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Almería]]></city>
    <country>ES</country>
    <description><![CDATA[**Ingeniero/a Backend Senior — Java & Spring Boot**

Buscamos un/a Ingeniero/a Backend Senior para un equipo técnico de alto nivel en Almería. El modelo de trabajo es presencial con 1 día de teletrabajo semanal.

**Responsabilidades**
- Desarrollar microservicios y APIs REST con Java 17 y Spring Boot 3 aplicando principios API-first y contratos OpenAPI
- Gestionar persistencia de datos con JPA/Hibernate y PostgreSQL
- Implementar mejora continua a través de code reviews y prácticas CI/CD
- Evolucionar la arquitectura del sistema con enfoque hexagonal pragmático
- Coordinar con equipos de negocio para traducir requisitos en soluciones técnicas
- Actuar como referente técnico del equipo

**Requisitos**
- 8 años de experiencia en desarrollo de software
- 5 años de experiencia en backend Java en producción
- Dominio sólido de APIs REST en producción
- Experiencia con Java 17, Spring Boot, Maven, JPA/Hibernate, PostgreSQL
- Conocimiento de Git, code reviews, CI/CD, Docker
- Experiencia con mensajería/Kafka y observabilidad

**Se ofrece**
- Proyectos backend de alto impacto con énfasis en calidad
- Equipo técnico colaborativo y de referencia
- Stack tecnológico moderno con IA aplicada al ciclo de desarrollo
- Oficinas modernas en PITA
- Acceso gratuito al gimnasio
- Servicio de guardería]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Java]]></category>
    <remotetype>Hybrid</remotetype>
    <skills><![CDATA[Java, Spring Boot, Kafka, PostgreSQL, Microservices, Docker, REST API, Hexagonal Architecture, CI/CD]]></skills>
    <expirationdate>2026-07-25T16:06:30.113Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Ingeniero/a de Software Senior (Python & GenAI)]]></title>
    <date>2026-05-26T16:05:49.452Z</date>
    <referencenumber>cmpmtucr0000h7gqn3g49yy1q</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ing-software-senior-python-genai-almeria-1779811549450</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Almería]]></city>
    <country>ES</country>
    <description><![CDATA[Buscamos un/a Ingeniero/a de Software con experiencia en Python e Inteligencia Artificial Generativa para liderar el diseño y despliegue de soluciones basadas en LLMs, agentes inteligentes y arquitecturas RAG dentro de los Servicios Centrales.

RESPONSABILIDADES:
• Desarrollar aplicaciones Python integrando modelos de lenguaje en entornos de producción
• Diseñar y optimizar pipelines RAG incluyendo embeddings y bases de datos vectoriales
• Construir agentes y automatizaciones usando frameworks LangChain
• Desarrollar APIs escalables con FastAPI
• Participar en decisiones de arquitectura e implementar mejores prácticas
• Colaborar con equipos de negocio, datos y sistemas
• Mentorizar personal técnico e impulsar la mejora del equipo

REQUISITOS MÍNIMOS:
• 8 años de experiencia en desarrollo de software profesional
• 4 años de desarrollo Python en producción
• Expertise en sistemas distribuidos y arquitectura de microservicios
• Experiencia en metodologías ágiles (Scrum, Kanban)
• Competencia en desarrollo backend
• Conocimiento práctico de IA Generativa, LLMs y RAG
• Experiencia en desarrollo de APIs y entornos cloud

SE OFRECE:
• Proyectos de alto impacto en IA Generativa
• Cultura de ingeniería colaborativa
• Acceso a formación y aprendizaje continuo
• Un día de teletrabajo semanal
• Oportunidades de desarrollo profesional
• Oficinas modernas en PITA (Parque Tecnológico de Almería)
• Acceso gratuito a gimnasio
• Servicio de guardería

Sector: Transporte y mensajería | Departamento: Informática
Publicado: 17 de Abril de 2026 | Fuente: ofertas.jcarrion.es]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Python]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Python, FastAPI, LangChain, LLMs / GenAI, RAG, Microservices, Docker, REST API, Backend Development]]></skills>
    <expirationdate>2026-07-25T16:05:49.452Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Technical Deployment Lead - Sydney]]></title>
    <date>2026-06-08T00:57:23.227Z</date>
    <referencenumber>cmq4sypo5003thaxxvyg2zx72</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/technical-deployment-lead-sydney-9aa88fbc</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Sydney]]></city>
    <country>ES</country>
    <description><![CDATA[About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

 About the Role

This is a founding role in Sydney. As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.

This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.

Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).

This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.

 This role is based in Sydney. We use a hybrid model of 3 days in office and offer relocation assistance. Travel up to 25-50% is required.

 In this role, you will:

Own the technical delivery plan for multiple interdependent work streams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.

Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.

Partner with Product and Research so platform components and research workstreams land in time to support deployment goals.

Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.

Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.

You’ll thrive in this role if you:

Bring 7+ years of customer‑facing technical delivery leadership.

Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.

Excel in high ambiguity environments. Know how to simplify complex and dynamic work.

Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.

Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions.

Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs.

Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls.

You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution.

Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher).

Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-07T00:57:23.227Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Cloud Agents]]></title>
    <date>2026-06-06T02:40:17.581Z</date>
    <referencenumber>cmq1y2yzm0182z2xw7ifvhv6a</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-cloud-agents-f75ae8ae</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Cloud Agents team builds product infrastructure for long-running agents in the cloud: orchestration, sandboxing and isolation, secure environment connectivity, secrets and identity, observability, reliability, and cost controls. These agents securely connect to diverse developer and customer environments and use tools to accomplish goals. We partner closely with product, research, and infrastructure teams to turn agentic capabilities into dependable platforms for OpenAI products and developers building on OpenAI.

About the Role

We are looking for an experienced software engineer to help build and scale our cloud agent platform. You will design and operate systems for orchestrating agents at scale. You will work closely with product engineers on ChatGPT, API, and Codex to define the right abstractions and enable them to ship products quickly. Strong backend or infrastructure experience is important; experience with Python, Rust, distributed systems, cloud infrastructure, or product platforms is especially helpful.

In this role, you will:

Design and scale the orchestration, sandboxing and storage systems that run agentic workloads for Codex, ChatGPT, and the OpenAI API.

Partner with product engineers to build a platform that enables them to ship quickly and turn feedback into robust abstractions.

Improve reliability, security, performance, and cost efficiency for long-running agents.

Deploy services that can operate across different environments and clouds.

Your background might look something like:

9+ years of professional engineering experience, excluding internships, in relevant roles at technology and product-driven companies.

Experience leading large-scale backend, platform, or infrastructure projects from ambiguous problem statements to production systems.

Proficiency in one or more backend languages such as Python, Go, Rust, TypeScript, or similar, and the ability to move across service, platform, and product boundaries.

Strong understanding of distributed systems, cloud platforms, and production reliability.

Enjoy abstracting away complex infrastructure and building platforms for product engineers to move faster.

Care about building platforms for other engineers and developers, and enjoy working closely with users to make complex infrastructure feel simple.

Comfort with a fast-moving pace while caring for security and operational excellence.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Python]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Python, Go, Rust, TypeScript, Codex, ChatGPT, OpenAI API]]></skills>
    <expirationdate>2026-08-05T02:40:17.581Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Startup Content Marketing Lead]]></title>
    <date>2026-06-05T22:05:28.339Z</date>
    <referencenumber>cmq1y2y1f017yz2xwx5zna1lu</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/startup-content-marketing-lead-27af7a37</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamLike every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of AI. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences.

We take a data-driven approach to understand our customers' needs and challenges, ensuring that their voices are reflected in product development and messaging. We then partner closely with product, engineering, developer relations, comms, and sales teams to create a cohesive customer experience across all our channels.

Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies.

 About the RoleAs a Startup Content Marketing Lead, you will define and drive how OpenAI co-markets with top startups. You will build social-first content series highlighting how founders use OpenAI, partner with field teams to capture high-quality moments from events, and support OpenAI's startup narrative so it lands clearly and consistently in field programs.

This role sits at the center of how OpenAI tells startup stories at scale. As a high-ownership IC marketer, you will shape the narratives founders and builders see, connect field programs to always-on content engines, and turn founder experiences into durable content franchises that drive awareness, engagement, and measurable GTM impact—helping startups build successfully with OpenAI.

 In This Role, You WillDefine OpenAI's startup co-marketing content strategy across channels and audience segments

Build social-first series featuring founders and builders using OpenAI in real workflows

Partner with field/event teams to capture, package, and publish content from startup programs

Translate high-performing field moments into snackable content formats and recurring series

Partner with social, startup GTM, customer marketing, PMM, and comms to align narrative, timing, and distribution

Build editorial systems and playbooks to scale output without losing quality or technical credibility

Track performance and business impact, and evolve formats based on data and feedback

You Might Thrive in This Role If YouHave 8-10+ years of content marketing experience with clear ownership of strategy and execution

Have meaningful startup experience (in-house at a startup, startup-focused role, or deep founder ecosystem work)

Have built social-first and multi-channel B2B content programs that drove measurable outcomes

Can move fast and deliver high-quality work across ambiguity, tight timelines, and shifting priorities

Are an excellent cross-functional partner across social, GTM, field, and startup marketing teams

Have strong editorial judgment and know how to balance storytelling, accuracy, and business goals

Are energized by AI, developers, and startup builders

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job p]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-04T22:05:28.339Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Compute & Infrastructure Accounting Manager]]></title>
    <date>2026-06-05T22:01:50.627Z</date>
    <referencenumber>cmq1y2z22018cz2xwe0fquis3</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/compute-infrastructure-accounting-manager-2ab9c780</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. The Compute &amp; Infrastructure team shares financial insights and partners with internal and external business stakeholders to manage the accounting and financial reporting for OpenAI’s rapidly evolving infrastructure investments.

The team supports a broad and increasingly complex portfolio of compute and infrastructure arrangements, including cloud computing, data centers, servers, equipment, rack financing, colocation arrangements, and other AI infrastructure deployments. We are responsible for ensuring financial accuracy, operational scalability, and informed decision-making as OpenAI continues to invest in advanced technologies and expand its infrastructure footprint.

 About the Role

We are looking for an experienced and technically skilled accounting professional to manage the accounting and financial reporting for OpenAI’s compute and infrastructure lease-related activities. In this role, you will own complex lease accounting matters across data centers, servers, equipment, and other infrastructure arrangements, while helping operationalize new programs as the organization continues to scale.

You will evaluate unique and highly structured transactions, assess their accounting implications, and translate technical conclusions into clear recommendations for leadership. You will also work cross-functionally to design the processes, systems, controls, and data solutions required to support accurate and scalable accounting operations.

This role requires a strong command of US GAAP, particularly lease accounting and consolidation, as well as the ability to operate effectively and fluidly in an evolving environment where new infrastructure programs may not yet have established processes or system solutions. The ideal candidate is both a technical accounting expert and a hands-on builder who can turn complex arrangements into sustainable operating models.

You will partner closely with Finance, Technical Accounting, Legal, Tax, Procurement, Engineering, Infrastructure, and other key stakeholders. You will also work with external counterparties and service providers to ensure the accounting treatment, operational processes, and reporting outputs are accurate, well-documented, and scalable.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

 In this role, you will:

Own the end-to-end accounting for compute and infrastructure lease-related activities, including data centers, servers, equipment, colocation arrangements, and other infrastructure deployments.

Evaluate new and evolving infrastructure arrangements to determine the appropriate accounting treatment under US GAAP, including lease identification, classification, measurement, commencement, modification, impairment, and presentation considerations.

Partner with Technical Accounting and other cross-functional stakeholders to assess complex or non-standard transactions, document accounting conclusions, and present the financial reporting implications to senior leadership.

Lead the accounting operationalization of new compute and infrastructure programs by developing scalable processes, controls, systems, data requirements, and reporting solutions from the ground up.

Design and implement system solutions to support lease accounting, fixed asset tracking, subledger requirements, data integration, and management reporting.

Own month-end and quarter-end close activities for the lease portfolio, including journal entries, reconciliations, flux analysis, rollforwards, balance sheet substantiation, and reporting packages.

Ensure the completeness and accuracy of lease-related accounting records by developing robust contract intake, asset tracking, and reconciliation processes.

Manage the accounting and reporting requirements for unique legal entities and special-purpose structures associated with infrastructure investments, including consolidation assessments, intercompany activity, and entity-level reporting.

Monitor changes in contractual arrangements and operational facts to identify lease modifications, reassessments, impairments, consolidation changes, and other accounting impacts.

Build and maintain strong internal controls over lease accounting, infrastructure data, entity reporting, journal entries, reconciliations, and management review processes.

Support internal and external audit requests, including preparation of accounting documentation, control evidence, reconciliation support, and responses to technical questions.

You might thrive in this role if you have:

10+ years of progressive experience in accounting, audit, advisory, or a related finance function, with meaningful experience managing complex transactions from initial assessment through operational execution.

Strong technical knowledge of US GAAP, parti]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-04T22:01:50.627Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Researcher: Agent Post-Training, API & Power-Users]]></title>
    <date>2026-06-05T21:50:59.491Z</date>
    <referencenumber>cmq1y2z2o018gz2xw8smuy77r</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/researcher-agent-post-training-api-power-users-ac2416eb</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve.

We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste.

Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use.

About the RoleAs a member of this API &amp; power-users team, you will improve the capabilities, reliability, and product fit of OpenAI’s agentic models for power users and API developers. You might design evals from real developer workflows, build training environments around production-like tool use, turn qualitative model failures into training data, evals, or post-training interventions, or drive a behavior improvement from discovery through post-training, integration, and launch.

This role is intentionally broad. The strongest candidates are comfortable turning ambiguous model behavior problems into concrete progress, whether that means improving tool use, planning, instruction following, recovery from mistakes, or how models behave in API-based workflows. You should be excited to work across research, engineering, data, evals, and product to make models better at acting in real workflows.

You will work closely with researchers, engineers, API/product teams, Codex, infrastructure, and safety/alignment partners to decide which behaviors matter, how to measure them, how to train them, and when they are ready for major model runs. This is a high-agency role for people who want their work to show up directly in frontier models used by expert users and developers.

In this role, you mightDesign and run experiments that improve model behavior in API and power-user workflows: function calling, tool use, coding, planning, long-horizon execution, factuality, instruction following, error recovery, and calibrated reasoning.

Build evals, graders, and environments from real developer and power-user workflows, then turn observed failures into training data, model-behavior hypotheses, and shipped improvements.

Partner with API and power-users to identify high-leverage behavior gaps and convert product signals into post-training interventions.

Improve how models behave when composed into systems: using tools reliably, respecting developer intent, handling partial failures, asking for clarification when appropriate, and maintaining coherence across multi-step tasks.

Own end-to-end model behavior projects, from qualitative failure analysis through data generation, training experiments, eval design, integration into major runs, and launch readiness.

Develop feedback loops that use power-user traces, API usage patterns, and production-like environments to discover the next frontier of agentic model failures and gaps.

Help decide which agentic capabilities, behavioral fixes, and partner-team integrations are ready for inclusion in major model runs.

Debug hard failures in shipped or near-shipped models by moving between traces, evals, training data, model outputs, and product context.

Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior.

Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness.

Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments.

You might thrive in this role if youHave strong technical fundamentals in ML, software engineering, systems, statistics, or applied research, and can quickly learn across unfamiliar parts of the stack.

Have hands-on experience with LLMs, post-training, RL/RLHF/RLAIF, evals, graders, synthetic data, coding agents, tool-using agents, API products, or production ML systems.

Have strong taste for model behavior: you can look at a transcript, trace, eval failure, or API interaction and form concrete hypotheses about what the model needs to learn.

Are excited by ambiguous capability problems where the signal is noisy, the failures are qualitative, and the solution may involve data, training, evals, product changes, or all of the above.

Deeply care ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, ChatGPT, API]]></skills>
    <expirationdate>2026-08-04T21:50:59.491Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Associate General Counsel, Hardware IP]]></title>
    <date>2026-06-05T21:34:18.566Z</date>
    <referencenumber>cmq1y2z1s018az2xwllg5sxtq</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/associate-general-counsel-hardware-ip-a6fd1564</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises legal professionals from diverse fields, including technology, privacy, IP, corporate, cybersecurity, employment, tax, regulatory, and litigation.

About the Role

We’re growing our world-class Legal team and seek an experienced counsel to lead our global hardware IP portfolio initiatives, including patent, trademark and other intellectual property matters related to our business. This role is highly cross-functional across OpenAI, including work across our Legal, Communications, Global Affairs, Product, Research and Executive teams.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Own global hardware IP initiatives, including setting and executing on the strategic direction and management of our hardware IP portfolio.

Create scalable processes internally and externally with outside counsel to build, maintain and protect our hardware IP portfolio.

Developing and maintaining internal hardware IP policies and programs.

Engaging externally on hardware IP policy issues.

Advising on strategic hardware IP deals.

Advising on hardware IP issues, ranging from patent, trademark, trade secret to open source.

Developing and building internal AI expertise, processes and tools to facilitate legal team work.

Experience advising on complex technology transactions and inbound technology licensing.

You might thrive in this role if you:

Have at least 10+ years of combined hardware IP experience at innovative technology companies and law firms.

Have a JD and license or qualification to practice in CA.

Have a strong sense of ownership, are inquisitive and enthusiastic about technology, enjoy being continually challenged, and can demonstrate sound judgment in ambiguous situations.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-04T21:34:18.566Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Enterprise Relationship Manager, Customer Marketing]]></title>
    <date>2026-06-05T20:49:49.015Z</date>
    <referencenumber>cmq1y2z0z0186z2xweszhbza8</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/enterprise-relationship-manager-customer-marketing-d7137a53</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Customer Marketing team showcases real-world customer outcomes through storytelling, proof, and structured advocacy programs. We partner closely with GTM, Product Marketing, Communications, Creative, Events, Legal, and regional teams to bring customer impact to life.

Enterprise customer relationships are a core part of this motion. Strong relationship management helps OpenAI identify high-quality customer advocates, build trust with senior stakeholders, and turn customer outcomes into credible proof points across sales, events, campaigns, and executive moments.

About the Role

As an Enterprise Relationship Manager on the Customer Marketing team, you will own and grow relationships with strategic enterprise and Fortune 500 customers who can participate in advocacy, references, storytelling, events, customer executive programs, and C-suite co-marketing.

You will partner with Enterprise Marketing, Events, GTM, Product Marketing, Communications, Legal, Product, and executives to identify executive customer-program opportunities, prepare C-suite stakeholders, navigate sensitive approvals, and turn customer advisory and co-marketing moments into broader advocacy, proof, and business impact.

This role is expected to be based in San Francisco, CA, and three days a week in office.

In this role, you will:

Build and manage a prioritized portfolio of enterprise customer relationships for customer marketing and advocacy.

Identify customers with strong outcomes, executive sponsorship, and readiness for references, events, storytelling, and co-marketing.

Create account-level advocacy plans in partnership with GTM and Customer Success teams.

Support and scale executive customer programs, including customer selection, stakeholder preparation, programming, follow-up, and feedback loops.

Serve as a trusted point of coordination for customer stakeholders through advocacy, approval, and publication processes.

Partner across Enterprise Marketing, Events, GTM, Product Marketing, Communications, Legal, and Creative to prepare customer stakeholders and connect executive customer moments to broader advocacy and proof.

Build repeatable processes for relationship tracking, executive customer programming, customer readiness, approvals, and advocacy follow-through.

You might thrive in this role, if you:

Have 7+ years of experience in customer marketing, customer advocacy, executive customer programs, customer advisory boards, strategic partnerships, enterprise account leadership, or related work, with direct experience supporting Fortune 500 or global enterprise customers.

Are credible and composed with C-suite customer stakeholders, senior internal executives, and cross-functional partners in high-trust environments.

Can balance customer trust with business needs and a high bar for accuracy.

Have strong judgment about which customer opportunities are strategically valuable.

Can influence across Sales, CS, PMM, Comms, Legal, Events, and Creative without direct authority.

Are highly organized and able to manage multiple customer workstreams with urgency.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-04T20:49:49.015Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Technical Program Manager, Data Acquisition]]></title>
    <date>2026-06-05T19:09:39.017Z</date>
    <referencenumber>cmpgigyy702pev2xqd5yhhigv</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/technical-program-manager-human-data-75f0d881</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team
OpenAI's Research Data Team exists to accelerate the evaluation, safety and capabilities of our models and products. Made up of technical operators and software engineers, we design the methods in which we acquire and create data.

About the Role
As a Technical Program Manager (TPM), Data Acquisition, you will partner with research, engineering, and operations to design and implement pragmatic solutions for acquiring data. You will be a key interface between our research roadmap and external data offerings.

This role is based in our San Francisco HQ and will be part of a team of TPMs pushing the frontier of data acquisition.

In this role, you will:

Partner deeply with research: Work with researchers to scope data needs, define success criteria, and translate priorities into clear execution plans.

Shape the data acquisition pipeline: Identify, evaluate, and advance high impact data opportunities - balancing research value, feasibility, quality, and responsible execution.

Unblock yourself: Move work forward even when the path is unclear — using technical judgement, creative problem solving, and scrappy execution to make progress while longer-term solutions are still forming.

Build lightweight systems and visibility: Use SQL, Python, dashboards, and simple tooling to track performance, quality, and blockers.

Drive technical roadmaps: Collaborate with engineers to enhance data platforms, resolve blockers, and ensure security best practices such as access management.

Scale your impact: Equip vendors and internal teams with the context, standards, and operating rhythms needed to focus on the most important problems.

You’ll thrive in this role if you:

Are proficient in SQL and Python for analysing datasets, querying databases, building dashboards, and generating actionable insights.

Are comfortable using APIs, automation, and AI tools such as Codex to accelerate workflows, remove manual overhead, and upskill quickly in unfamiliar technical areas.Experience sourcing, evaluating, or working with startups, founder and vendors

Are excited to understand the technicalities of cutting-edge AI research and work alongside researchers from instantiation to launch.

Can move fluidly between research context, commercial execution, and data operations.

Want to get your hands dirty; grit and creative problem solving will be required daily

Learn technical concepts exceptionally quickly, seeking out knowledge to become proficient in areas that are new to you

Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritization

Thrive in dynamic environments and can navigate ambiguity with ease

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-04T19:09:39.017Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Deployment Engineering Manager, Startups]]></title>
    <date>2026-06-05T18:31:22.677Z</date>
    <referencenumber>cmq1y2z190188z2xwk0ledxha</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-deployment-engineering-manager-startups-c4737f6a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

The AI Deployment Engineering team partners closely with customers to help them move from experimentation to production with OpenAI’s technologies. We act as trusted technical advisors, working across customer strategy, architecture, deployment, and adoption to help organizations realize meaningful impact from frontier AI.

The Startups segment serves fast-moving, high-growth companies that are often building new products, workflows, and businesses directly on top of AI. These customers move quickly, operate with high ambiguity, and expect practical, creative, and technically rigorous partnership.

About the Role

We are looking for an AI Deployment Engineering Manager, Startups to lead and scale the Startups AI Deployment Engineering motion. This team helps high-growth startups move quickly from experimentation to production, unlock meaningful usage, and build durable technical partnerships with OpenAI.

This leader will operate in a high-velocity customer segment where founders, CTOs, and technical teams expect speed, judgment, and hands-on problem-solving. They will balance team leadership, technical depth, customer prioritization, and cross-functional influence across Sales, Product, Engineering, Research, and broader go-to-market teams.

In this role, you will define how OpenAI supports startup customers at scale: identifying where deep technical engagement can unlock outsized impact, building repeatable deployment mechanisms, and ensuring the team can serve a broad and dynamic customer base without losing quality or strategic focus.

In This Role, You Will

Craft and continuously refine the strategic vision and operating model for the Startups AI Deployment Engineering team, aligning it with OpenAI’s broader company objectives and the evolving needs of high-growth startup customers.

Lead, mentor, and grow a team of high-performing technical ICs supporting startup customers across AI-native, developer-led, and product-led companies.

Help startups move from early experimentation to production usage by identifying technical blockers, advising on architecture, and driving practical paths to deployment.

Partner closely with Sales to determine where technical engagement can accelerate adoption, production usage, and long-term account growth.

Represent the technical voice of startup customers by synthesizing high-signal feedback, especially around developer experience, product gaps, deployment blockers, model performance, and emerging use cases.

Translate recurring startup needs into repeatable playbooks, starter packs, reference architectures, internal tooling, and customer-facing assets that help the broader team move faster.

Serve as a senior technical escalation point for priority startup customers, including founder-, CTO-, and technical executive-level conversations.

Balance urgent customer needs with OpenAI’s broader product and platform priorities, especially when startups request niche features, bespoke support, or accelerated roadmap changes.

Coach AI Deployment Engineers on technical quality, customer judgment, prioritization, executive communication, and cross-functional partnership.

Partner across Sales, Product, Engineering, Research, and other GTM teams to improve how OpenAI supports startups from early adoption through scaled production usage.

You Might Thrive in This Role If You

Have proven experience founding, scaling, or operating within early-stage startups, ideally in technical leadership roles where you owned both product or customer outcomes and technical execution.

Have a strong track record of building and leading technical, customer-facing teams in high-growth, ambiguous, or startup-heavy environments.

Bring strong technical depth across APIs, platform products, AI/ML systems, developer workflows, and production deployment considerations.

Have experience creating scalable operating models, not just managing one-off customer escalations.

Are comfortable working directly with founders, CTOs, technical executives, and highly technical ICs.

Demonstrate strong judgment about when to go deep for a strategic customer versus when to build repeatable mechanisms for the broader segment.

Can translate complex technical and product considerations into clear decisions, practical guidance, and customer-facing recommendations.

Operate with speed, iteration, and pragmatic customer impact without sacrificing quality, safety, or OpenAI’s long-term platform strategy.

Are personally committed to fostering the safe and beneficial development of AI.

Success in This Role May Look Like

Increased startup account usage, including tokens, requests, and production workloads.

A strong cadence of successful customer sprints and production-oriented technical engagements.

High-quality customer stories, founder and CTO satisfaction, and referenceable startup wins.

Creation of repeatable startup deployment patterns, starter packs, templates, and reference architectures.

Stron]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-04T18:31:22.677Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Deployment Engineering Manager, Digital Natives]]></title>
    <date>2026-06-05T18:26:03.392Z</date>
    <referencenumber>cmq1y2z2c018ez2xwc3jd5s6t</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-deployment-engineering-manager-digital-natives-b663e3c1</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York City]]></city>
    <country>US</country>
    <description><![CDATA[About the team

The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As the leader of our AI Deployment Engineers in the Digital Native segment, you’ll help technology and software companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.

About the role

We are seeking a leader to ensure the technical success of our most strategic technology and software customers in the Americas. In this role, you will manage the entire implementation journey, ensuring seamless platform integration. As the voice of our customers, you will align technical teams to deliver a consistent and exceptional experience throughout the customer lifecycle. Success will be measured by live production applications, increased API adoption, and impactful customer stories that demonstrate the value of our technology.

This role is open in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Own the strategy and operating model of the AI Deployment Engineering team, ensuring alignment with company objectives and the evolving needs of our customers.

Lead, build, and mentor a team of high-performing AI Deployment Engineers to deliver exceptional customer outcomes, as demonstrated by production customer applications and increased API adoption.

Serve as the technical advocate for our customers, synthesizing their needs to develop the Research and Applied Product/Engineering roadmaps.

Act as the primary technical escalation point during development, fostering trust and maintaining direct communication with executive-level stakeholders.

Serve as an industry thought leader, championing the safe and innovative application of our technology across various sectors.

You’ll thrive in this role if you:

Have 8+ years of experience in a technical customer-facing role, managing C-level technical and business relationships with complex global organizations.

Have 2+ years of experience leading technical post-sales teams with a demonstrated ability to hire, develop, and manage technical teams.

Have led complex implementations of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

Have industry experience in programming languages like Python or Javascript.

Are an effective and polished communicator who can translate business and technical topics to all audiences and mentor others to do the same.

Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data securit]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-04T18:26:03.392Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Deployment Engineering Manager, Digital Natives]]></title>
    <date>2026-06-05T18:25:23.590Z</date>
    <referencenumber>cmq1y2uqr017sz2xwdg9g3gq4</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-deployment-engineering-manager-digital-natives-d17fa7f9</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the team

The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As the leader of our AI Deployment Engineers in the Digital Native segment, you’ll help technology and software companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.

About the role

We are seeking a leader to ensure the technical success of our most strategic technology and software customers in the Americas. In this role, you will manage the entire implementation journey, ensuring seamless platform integration. As the voice of our customers, you will align technical teams to deliver a consistent and exceptional experience throughout the customer lifecycle. Success will be measured by live production applications, increased API adoption, and impactful customer stories that demonstrate the value of our technology.

This role is open in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Own the strategy and operating model of the AI Deployment Engineering team, ensuring alignment with company objectives and the evolving needs of our customers.

Lead, build, and mentor a team of high-performing AI Deployment Engineers to deliver exceptional customer outcomes, as demonstrated by production customer applications and increased API adoption.

Serve as the technical advocate for our customers, synthesizing their needs to develop the Research and Applied Product/Engineering roadmaps.

Act as the primary technical escalation point during development, fostering trust and maintaining direct communication with executive-level stakeholders.

Serve as an industry thought leader, championing the safe and innovative application of our technology across various sectors.

You’ll thrive in this role if you:

Have 8+ years of experience in a technical customer-facing role, managing C-level technical and business relationships with complex global organizations.

Have 2+ years of experience leading technical post-sales teams with a demonstrated ability to hire, develop, and manage technical teams.

Have led complex implementations of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

Have industry experience in programming languages like Python or Javascript.

Are an effective and polished communicator who can translate business and technical topics to all audiences and mentor others to do the same.

Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data securit]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-04T18:25:23.590Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Analytics Engineer, Safety Systems]]></title>
    <date>2026-06-05T17:30:04.600Z</date>
    <referencenumber>cmq1y2w5p017wz2xw31saosl8</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/analytics-engineer-safety-systems-cbf6d681</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world.

Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy.

Learn more about OpenAI’s approach to safety

About the Role

As an Analytics Engineer in Safety Systems, you will play a pivotal role in building a data-centric culture, enhancing decision-making processes, and driving strategic initiatives through analytics. You will partner closely with Engineering, Research, and Data Science to develop and maintain canonical data sources and source-of-truth dashboards that enable both people and AI agents across the organization to derive trustworthy, actionable insights.

You will own the consumption layer for safety metrics: defining intuitive, reliable ways for stakeholders across Safety Systems, partner teams, and leadership to understand the safety of our products, answer safety-related questions independently, and inform product decisions and company strategy.

Most importantly, you will be a core member of the Safety Systems team, collaborating with researchers and engineers to advance our goals of safe, robust, and reliable AI.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Design and maintain canonical datasets that serve as sources of truth for safety metrics.

Develop and refine data products such as dashboards, reports, agent-enabled workflows, and machine-readable interfaces that empower stakeholders to extract and analyze data independently.

Work closely with stakeholders in Engineering, Research, and Data Science to understand their decision-making needs and design intuitive ways to consume complex safety metrics, including dashboards, reports, agentic workflows and other data products.

Ensure that analytics and visualizations are both accurate and user-friendly, incorporating user experience principles.

Advocate for data quality, consistency, and reliability across analytics products.

You might thrive in this role if you are/have:

5+ years of experience in a relevant data role within dynamic, outcome-driven organizations.

Demonstrated ability to independently own ambiguous, high-impact business problems, from structuring the analytical approach to driving clear recommendations and execution.

Highly autonomous and resourceful, with a track record of navigating data, stakeholder, and operational blockers.

Highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows.

Experienced in using business intelligence tools, such as Tableau and Looker, to communicate insights and enable self-serve.

Excellent communication skills, with demonstrated ability to collaborate with researchers, engineers, data scientists, and executives alike.

Best-in-class attention to detail and unwavering commitment to accuracy.

Proven track record of delivering significant business impact, preferably within Finance, Sales, Support, or other GTM domains.

Experience using or building agentic data tools, LLM-powered analytics, or other AI-assisted data workflows.

You could be an especially great fit if you have:Experience in trust and safety, integrity, anti-abuse, or related fields.

Familiarity with advanced custom visualizations, such as Streamlit and Plotly Dash.

Demonstrated prior experience in NLP, large language models, or generative AI.

Experience building data products used by a broad range of stakeholders, from technical practitioners to company leadership.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those la]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-04T17:30:04.600Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Operations Enablement Program Manager, User Safety & Risk Operations]]></title>
    <date>2026-06-05T17:12:46.087Z</date>
    <referencenumber>cmq1y2z030184z2xwvyonnoag</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/operations-enablement-program-manager-user-safety-risk-operations-bf787cfb</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamAt OpenAI, our Trust, Safety &amp; Risk Operations teams safeguard our products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We operate at the intersection of operations, compliance, user trust, and safety working closely with Legal, Policy, Engineering, Product, Go-To-Market, and external partners to ensure our platforms are safe, compliant, and trusted by a diverse, global user base.

We support users across ChatGPT, our API, enterprise offerings, and developer tools handling sensitive inbound cases, building detection and enforcement systems, and scaling operational processes to meet the demands of a fast-moving, high-stakes environment.

About the RoleWe are looking for an Operations Enablement Program Manager to build and scale the foundational operational systems that power USRO’s human review and safety workflows. This is the first dedicated operational enablement role within USRO and will help define the operating mechanisms, governance models, and planning systems that enable Trust &amp; Safety operations to scale effectively over time. This role sits at the center of vendor performance, capacity planning, launch readiness, and workflow enablement, ensuring our operations are not only effective today but designed to scale with increasing volume, complexity, and automation.

You will partner closely with Global Safety Response, safety vertical leads, BPO partners, and Strategy/Systems teams to translate evolving safety needs into structured, repeatable operating mechanisms. This includes defining how work is staffed, how workflows are launched and supported, how vendor performance is managed, and how automation is integrated into day-to-day operations.

This is a high-impact role for someone who can operate across strategy and execution—bringing clarity to ambiguous problems, building durable systems, and reducing fragmented operational work across the organization. Success in this role means improving operational visibility, enabling faster and more reliable launches, and ensuring human review is efficient, scalable, and aligned with risk and quality goals.

ResponsibilitiesOwn capacity planning across FTE and BPO workflows, including staffing models, utilization, and forecasting.

Define and evolve human review strategy, determining the right balance of automation, BPO, and FTE support.

Drive launch readiness, including intake, prioritization, dependency tracking, and operational rollout planning.

Monitor and improve queue health, SLA performance, and operational efficiency across BPO workflows

Own operational governance across BPO partners, including performance management, escalation paths, SLA/KPI oversight, operational reviews, and structured remediation planning where needed.

Partner cross-functionally with Global Safety Response, safety vertical leads, BPO Management, and Strategy/Systems to scale operations and improve execution.

Identify and operationalize automation opportunities across capacity, review, and launch workflows.

Build repeatable operating mechanisms for capacity planning, launch readiness, and workflow enablement.

Create feedback loops from review operations into upstream systems, ensuring review insights improve policy, detection, tooling, automation design, and workflow quality.

Develop decision frameworks for review investment, guiding when to scale BPO capacity, deepen FTE oversight, improve tooling, or automate based on risk, quality, cost, and workflow maturity.

Build operational reporting and decision-making frameworks that provide leadership visibility into workflow health, capacity risk, launch readiness, vendor performance, and operational scaling constraints.

You Might Thrive In This Role If YouHave experience building operational systems and governance mechanisms in high-growth, ambiguous environments where processes, ownership models, and operating structures are still being defined.

Have 5+ years of experience managing and evaluating vendor/BPO performance, with a strong focus on quality, efficiency, and scale.

Are highly cross-functional and can partner across policy, engineering, and operations to drive complex initiatives like launch readiness, capacity planning, workforce management and workflow health.

Can operate fluidly between strategy and execution, turning ambiguous problems into clear, scalable systems and operating mechanisms.

Are deeply analytical, using data to inform decisions on staffing, performance, cost and operational tradeoffs in high-stakes environments.

Are AI-native and systems-oriented in your approach, using automation, tooling, and models to reduce operational friction, increase the leverage of human review, and build scalable operational infrastructure from the ground up.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-04T17:12:46.087Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Inventory and Cost Accounting Lead]]></title>
    <date>2026-06-05T16:53:15.080Z</date>
    <referencenumber>cmq1y2u6e017qz2xwfqn4914g</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/inventory-and-cost-accounting-lead-75ab6662</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamOpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission to ensure that artificial general intelligence benefits all of humanity.

The Controllership team delivers the financial truth that powers OpenAI’s growth. By translating operational activity into accurate, timely, and decision-grade financial data, we enable leadership to scale the business with confidence. Our commitment to rigorous controls and best-in-class systems ensures financial integrity as OpenAI grows.

 About the RoleWe are seeking a strategic and execution-oriented Inventory &amp; Cost Accounting Lead to build and scale manufacturing accounting and product costing capabilities across consumer hardware and robotics businesses. This role partners closely with Finance, Supply Chain, Manufacturing Operations, Technical Accounting, Strategic Finance, and Systems teams to establish scalable costing methodologies, inventory valuation processes, manufacturing close procedures, and reporting infrastructure supporting rapid growth and product launches.

The ideal candidate brings deep experience in consumer hardware manufacturing environments, including standard costing, inventory accounting, variance analysis, contract manufacturing, and ERP operationalization — particularly within Oracle Fusion. This person should thrive in ambiguity, balance strategic thinking with operational execution, and possess the executive presence and judgment to influence cross-functional stakeholders and senior leadership.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

 In this role, you will:Manufacturing Costing &amp; Inventory AccountingLead product costing and inventory accounting across consumer hardware and robotics programs, including inventory valuation, manufacturing variances, reserves, and close processes.

Partner with Supply Chain, Operations, and Strategic Finance to support BOM accuracy, labor and overhead assumptions, and gross margin analysis.

Develop scalable accounting processes for NPI, prototyping, engineering builds, and mass production.

Own inventory-related accounting policies and controls, including capitalization, overhead allocation, LCNRV/NRV assessments, rebates, freight, tariffs, and inventory controls.

ERP Systems &amp; Process DesignServe as a finance lead for Oracle Fusion manufacturing costing and inventory implementations, enhancements, and process optimization.

Partner with Systems, IT, and Operations to design scalable finance processes, controls, reporting structures, and operational workflows.

Drive ERP configuration decisions related to standard costing, inventory subledger processes, manufacturing transactions, and cost books.

Financial Close, Reporting &amp; ControlsLead monthly, quarterly, and annual cost accounting close activities and improve scalable reconciliations, reporting, and management review processes.

Partner with Strategic Finance on margin reporting, inventory analytics, and budget versus actual analysis.

Establish SOX-ready controls, support audits and technical accounting matters, and drive continuous improvement across close and reporting processes.

Cross-Functional LeadershipAct as a strategic partner to Operations, Supply Chain, Procurement, and Program Management teams.

Translate ambiguous business needs into scalable accounting and operational frameworks.

Influence senior stakeholders through strong communication, executive presence, and data-driven recommendations.

Help build and scale the long-term roadmap for hardware controllership, manufacturing accounting, and operational finance infrastructure.

 You might thrive in this role if you have:Have deep expertise in manufacturing accounting and cost accounting within consumer hardware or other high-volume manufacturing environments.

Can comfortably operate between strategic leadership discussions and highly detailed operational accounting analyses.

Have strong executive presence and can communicate effectively with senior leadership and cross-functional partners.

Enjoy building scalable processes and infrastructure in fast-moving, ambiguous environments.

Are highly detail-oriented and maintain a strong control mindset while balancing business partnership.

Have a strong systems orientation and enjoy designing scalable ERP and reporting processes.

Are intellectually curious, proactive, and solutions-oriented.

 QualificationsRequired QualificationsBachelor’s degree in Accounting, Finance, or related field.

8+ years of experience in manufacturing accounting, cost accounting, or inventory accounting.

Significant experience within consumer hardware, electronics, robotics, semiconductor, or complex manufacturing industries.

Deep expertise in standard costing, inventory valuation, manufacturing variances, overhead absorption, and inventory close processes.

Strong experienc]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-04T16:53:15.080Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Account Director, Healthcare & Life Sciences]]></title>
    <date>2026-06-05T16:49:49.407Z</date>
    <referencenumber>cmq1y2uye017uz2xwkurxsine</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/account-director-healthcare-life-sciences-724e2bc7</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the team

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

As an Account Director focused on Healthcare &amp; Life Sciences, you will own executive-level relationships with leading healthcare and life sciences organizations, including global pharmaceutical manufacturers, medical device companies, and contract research organizations. You’ll help these companies safely and effectively deploy OpenAI’s technology to transform R&amp;D productivity, automate documentation, enhance regulatory workflows, and personalize patient and provider engagement.

This role blends scientific literacy, technical depth, business acumen, and relationship-driven enterprise sales. You will collaborate closely with researchers, engineers, and healthcare-focused solution strategists to design secure, compliant, and high-impact AI deployments. 

This role is based in San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

In this role, you’ll:

Manage a focused portfolio of healthcare, large pharmaceutical and life sciences accounts, developing long-term strategic account plans

Lead complex, multi-stakeholder sales cycles spanning R&amp;D, medical, regulatory, and commercial functions

Partner with solutions and research engineering to design pilots that demonstrate measurable business and scientific impact

Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated environments

Own a revenue and consumption target; manage forecasts and pipeline reporting

Monitor industry and regulatory trends (FDA, EMA, etc.) to guide customer and product strategy

Represent OpenAI at industry conferences and thought-leadership events (e.g., HLTH, JPM)

Partner cross-functionally with marketing, partnerships, and communications to build the HLS go-to-market motion

We’re seeking someone with experience including:

14+ years selling complex enterprise software or platform-as-a-service solutions to healthcare or life sciences customers

Proven success achieving annual revenue targets &gt;$2M+ in regulated industries

Experience managing C-suite relationships across R&amp;D, IT, medical, and commercial teams

Strong understanding of healthcare and life sciences workflows (e.g., drug discovery, clinical trials, regulatory submissions, market access)

Familiarity with data privacy, compliance (HIPAA, GxP), and security considerations in healthcare

Demonstrated ability to design and execute complex deal and partnership strategies

You might thrive in this role if you:

Are customer-centric and can translate complex scientific and business needs into transformative AI solutions

Are passionate about advancing human health through the safe and ethical use of AI

Are a builder who enjoys designing scalable systems and repeatable sales motions from the ground up

Are a strategist who anticipates industry shifts and guides enterprise customers through them

Are energized by ambiguity and motivated to create structure and clarity across complex, cross-functional engagements

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-04T16:49:49.407Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Manufacturing Test Engineer]]></title>
    <date>2026-06-05T14:02:35.026Z</date>
    <referencenumber>cmq1y2yyd0180z2xw8f3j8f03</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/manufacturing-test-engineer-e0fd2158</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team:OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the RoleWe are seeking a Manufacturing Test Engineer to own and drive manufacturing test strategy, development, and execution for complex AI hardware systems. This role will define and implement test coverage across the product lifecycle, including ICT, functional circuit test, tray-level functional test, and system manufacturing test.

You will work closely with hardware design engineering, diagnostic/software teams, manufacturing engineering, quality, and external system integrators and suppliers to translate product requirements into robust, scalable, and production-ready test solutions. You will also play a key role in reviewing test data, debugging failures, improving yield, and ensuring manufacturing test readiness from early development through volume production.

In This Role, You Will:Define and drive the manufacturing test strategy for boards, trays, and system-level hardware assemblies across EVT, DVT, PVT, and production ramp.

Develop and manage test coverage for:

ICT / structural test

FCT / board-level functional test

Tray-level functional and integration test

System-level manufacturing and bring-up test

Partner closely with electrical engineering, system engineering, and diagnostic/software teams to define test requirements, review manufacturing test scripts and diagnostics, validate failure isolation needs, debug hooks, logging, and production screening strategies.

Translate engineering requirements into practical, scalable manufacturing test plans that balance coverage matrices; review and approve EVT/DVT/PVT and production test plans, pass/fail criteria and release gates while balancing coverage, test time, debug efficiency, cost, and production throughput.

Collaborate with system integrators, JDMs, contract manufacturers, and equipment vendors to implement and qualify test stations, fixtures, automation, software, equipment configurations, calibration plans, operator procedures, golden-unit correlation and production workflows.

Review and analyze manufacturing test results, test logs, diagnostic outputs, yield trends, failure paretos, false-failure rates, and station correlation data to identify gaps and drive corrective actions.

Lead or support debug of manufacturing test failures, working cross-functionally to determine whether issues stem from design, process, fixture, software, component, or operator variation.

Drive continuous improvement of test processes, including coverage expansion, cycle-time reduction, parallelization opportunities, power &amp; cooling efficiency optimization,  station reliability, data quality, and test escape prevention.

Ensure manufacturing test readiness for new product introduction, including test specifications, validation plans, GR&amp;R/correlation studies, station acceptance, and production release criteria.

Help establish scalable standards and best practices for manufacturing test development across OpenAI’s rapidly growing hardware portfolio.

You Might Thrive in This Role If You:Have experience developing and deploying manufacturing test solutions for complex electronics, servers, networking systems, or high-performance compute hardware.

Understand board-level and system-level test methodologies, including ICT, boundary scan, functional test, burn-in, stress test, and production diagnostics.

Are comfortable working across both engineering development and factory execution, and can bridge the gap between design intent and production implementation.

Have strong hands-on debugging skills and can use test data, BMC/Host logs, diagnostic logs, power &amp; thermal telemetry, schematics, and lab measurements to identify root causes efficiently and drive corrective action.

Communicate clearly with internal teams and external partners, especially when aligning on requirements, debugging ambiguous issues, and driving closure under schedule pressure.

Enjoy operating in a fast-moving, high-ownership environment with significant ambiguity and high expectations for execution.

QualificationsBachelor’s degree in Electrical Engineering, Computer Engineering, Manufacturing Engineering, or a related technical field, or equivalent practical experience.

5+ years of experience in manufacturing test engineering, product test, NPI test development, or related hardware test roles.

Experience with one or more of the following on servers and/or AI Accelerators:

ICT or structural board]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-04T14:02:35.026Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Infrastructure Reliability]]></title>
    <date>2026-06-05T10:33:13.170Z</date>
    <referencenumber>cmpgigzjq02tqv2xqkgnxkuhi</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-infrastructure-reliability-730334e8</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[About the Team

We’re hiring software engineers to join our broader Infrastructure organization, which supports multiple high-impact teams. Depending on your interests and experience, you could work on one of several focus areas—including Core Distributed Systems, Databases, Observability, or Cloud Infrastructure. All teams operate with a high degree of autonomy and are deeply collaborative, with a shared mandate to raise the bar on safety, reliability, and velocity across OpenAI.

About the Role

You’ll be at the heart of scaling and hardening the infrastructure that powers some of the most widely used AI systems in the world. You’ll help ensure our systems are highly reliable, observable, performant, and secure—so researchers can iterate quickly, and products like ChatGPT and the OpenAI API can serve millions of users safely and effectively.

This is a hands-on, high-leverage role for engineers who thrive on ownership, love solving deep technical problems across the stack, and want to work on systems that support cutting-edge research and deploy at global scale. You’ll play a key part in shaping technical direction, proactively improving system resilience, and collaborating closely with infra, product, and research teams to turn complex infrastructure into reliable platforms.

In this role you will:

Design, build, and operate reliable and performant systems used across engineering.

Identify and fix performance bottlenecks and inefficiencies, ensuring our infrastructure can scale to the next order of magnitude.

Dig deep to resolve complex issues.

Continuously improve automation to reduce manual work. Improve internal tooling and our developer experience.

Contribute to incident response, postmortems, and the development of best practices around system reliability and scalability.

You might thrive in this role if you:

Have a deep understanding of distributed systems principles and a proven track record in building and operating scalable and reliable systems.

Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems.

Have experience operating orchestration systems such as Kubernetes at scale and building abstractions over cloud platforms

Are comfortable working in Linux environments, and with tools like Kubernetes, Terraform, CI/CD pipelines, and modern observability stacks.

Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services.

Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

Are comfortable with ambiguity and rapid change.

Qualifications:

4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead

A passion for distributed systems at scale with a focus on reliability, scalability, security, and continuous improvement.

Proven experience as an reliability engineer, production engineer, or a similar role in a fast-paced, rapidly scaling company.

Strong proficiency in cloud infrastructure  (like AWS, GCP, Azure) and IaC tools such as Terraform. Proficiency in programming / scripting languages.

Experience with containerization technologies and container orchestration platforms like Kubernetes.

Experience with observability tools such as Datadog, Prometheus, Grafana, Splunk and ELK stack.

Experience with microservices architecture and service mesh technologies.

Knowledge of security best practices in cloud environments.

Strong understanding of distributed systems, networking, and database technologies.

Excellent problem-solving skills and ability to work in a fast-paced environment.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Distributed Systems]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Distributed Systems, Cloud, ChatGPT, Kubernetes, Linux, Terraform, CI/CD, AWS, GCP, Azure, Datadog, Microservices]]></skills>
    <expirationdate>2026-08-04T10:33:13.170Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Robotics Software Engineer]]></title>
    <date>2026-06-05T05:02:58.415Z</date>
    <referencenumber>cmq0in1ja00aq277tbrfa4e7d</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/robotics-software-engineer-5d7030ca</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives.

About the Role

We're seeking talented Robotics Software Engineers to expand our robotics data collection and evaluation program. This highly technical role involves designing, implementing, and optimizing software solutions across diverse robotics hardware. You'll work closely and collaboratively with multidisciplinary teams; including software, hardware, research, and operations - to drive advancements in our robotic systems.

This role is based in San Francisco, CA, and requires in-person 4 days a week.

In this role, you will:

Help develop and grow our data collection labs, owning the entire integration lifecycle, from identifying and sourcing new hardware to collaborating with mechanical and electrical engineers on setup, software integration, and operational deployment.

Develop innovative robot control interfaces suited to a variety of morphologies, environments, and tasks.

Collaborate closely with research and engineering teams to develop automation tools and machinery that facilitate the evaluation of advanced robotic policies.

Lead the design and implementation of data collection, visualization, and quality control processes.

You might thrive in this role if you: 

Have 5+ years of professional software engineering experience developing and shipping production-quality systems in robotics or hardware-integrated environments.

Have extensive experience integrating and deploying industrial automation systems, off-the-shelf robotics platforms, or custom hardware into production environments.

Bring hands-on experience delivering production-quality software within collaborative, cross-functional engineering teams.

Have strong proficiency in Rust or C++.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Rust]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Rust, C#]]></skills>
    <expirationdate>2026-08-04T05:02:58.415Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Firmware Lead, Robotics]]></title>
    <date>2026-06-05T04:56:36.449Z</date>
    <referencenumber>cmq0in1ij00ao277tszq4fs46</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/firmware-lead-robotics-57b12722</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

We are building general-purpose robotics. In the short term, we are focused on robots to support skilled workers to build our future infrastructure. In the long term, we imagine everyone having a personal robot doing anything they need. Progress is rapid, and based on a foundation of co-design between robotics hardware and ML research.

About the Role

As a Firmware Lead, you will define and drive the architecture of embedded systems for next-generation hardware products. You will own foundational firmware decisions across real-time execution, device bring-up, hardware interfaces, fault handling, safety mechanisms, and production readiness.

We’re looking for someone with deep experience building safety-critical or high-consequence systems, where failures can have meaningful consequences. You should be comfortable reasoning about risk, designing for diagnosability and graceful degradation, and creating engineering practices that raise the reliability bar for the entire team.

You should also be unusually good at moving fast. Sometimes the right answer is a carefully reviewed architecture that will endure for years; sometimes it is getting a rough-but-useful prototype working by the end of the afternoon so the team can learn something concrete tomorrow. We value engineers who know the difference, make that call well, and can operate credibly in both modes.

You will be both a technical leader and a hands-on builder: setting direction, reviewing critical designs, unblocking the hardest problems, and writing production firmware when it matters most.

This role is based in San Francisco, CA. This role will be expected to be in office 5 days per week and offer relocation assistance to new employees.

In this role, you will:

Rapidly bring up new hardware and set execution pace for the team.

Lead firmware architecture for embedded systems spanning boot, RTOS/runtime behavior, peripheral control, power management, communications, and field diagnostics.

Define engineering standards for reliability, fault tolerance, observability, and maintainability across the firmware stack.

Design and review safety-critical mechanisms, including fault detection, recovery paths, watchdog strategies, redundancy where appropriate, and safe-state behavior.

Build quick, scrappy prototypes when speed of learning matters, then harden the right ideas into production-quality systems.

Partner closely with engineers in hardware, software, and AI research from early prototype through production.

Build rigorous bring-up, validation, and release processes for embedded platforms.

Establish testing strategies across unit, hardware-in-the-loop, integration, stress, and failure-injection testing.

Drive root-cause analysis for subtle hardware, firmware, and system interactions.

Make clear tradeoffs across performance, memory, power, schedule, and safety.

Mentor firmware engineers and help shape a culture of urgency, technical rigor, practical judgment, and high-quality execution.

You might thrive in this role if you:

Have extensive experience developing firmware in an iterative environment.

Get a thrill from bringing up new hardware and taking end-to-end ownership over ensuring it works.

Have led architecture and delivery for complex embedded products that shipped to real users or operated in demanding production environments.

Are deeply fluent in low-level languages (we use Rust!) and comfortable working close to hardware under real-time constraints.

Understand embedded systems from first principles, including interrupts, scheduling, memory layout, buses, DMA, timing behavior, and failure modes.

Have strong instincts for defensive design, fault containment, validation depth, and post-deployment diagnosability.

Know when to build the durable system and when to produce the fastest credible artifact that unlocks the next decision.

Communicate clearly across disciplines and can turn ambiguity into sound technical direction.

Care about building systems that are not only fast and capable, but also trustworthy.

Make heavy use of Codex, Claude Code, or similar AI-assisted coding systems to accelerate implementation, prototyping, debugging, and iteration.

Nice to have:

Experience with Rust in embedded environments.

Experience with Embassy or other async embedded Rust frameworks.

Familiarity with mixed-language firmware architectures, including introducing Rust incrementally into existing C/C++ systems.

Experience with ARM Cortex-M or Cortex-R platforms, RTOSes, and low-power embedded designs.

Experience building firmware for sensor-rich, latency-sensitive, or tightly integrated electromechanical products.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool th]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[RTOS]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[RTOS]]></skills>
    <expirationdate>2026-08-04T04:56:36.449Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Head of GTM Partnerships, EMEA]]></title>
    <date>2026-06-05T01:17:49.249Z</date>
    <referencenumber>cmpz37ctg00cqce5nkgk32667</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/head-of-gtm-partnerships-emea-55ec3ba2</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[About the TeamOpenAI's GTM Partnerships team builds and scales a strategic global ecosystem of partners that accelerates customer success, enables responsible AI adoption, and drives sustainable growth in support of OpenAI's mission.

We work closely with Sales, Customer Success, Product, Marketing, Operations, Legal, and Executive Leadership to ensure our partners are aligned, enabled, and accountable for delivering meaningful customer outcomes. Our ecosystem spans global systems integrators, consulting firms, cloud providers, regional partners, managed service providers, and industry specialists that help organizations successfully deploy AI at scale.

As OpenAI's enterprise business continues to grow, partnerships are becoming an increasingly important lever for customer adoption, implementation, and long-term value creation.

About the RoleEurope represents one of OpenAI's largest and fastest-growing enterprise markets. Organizations across the region are moving rapidly from experimentation to enterprise-wide AI transformation, creating significant demand for trusted partners who can help customers deploy, scale, and realize value from AI.

We are seeking an experienced EMEA GTM Partnerships Lead to build and scale OpenAI's partner ecosystem across Europe. This leader will own OpenAI's regional partnerships strategy and execution, overseeing relationships with Global Systems Integrators (GSIs), consulting firms, regional systems integrators, advisory organizations, cloud ecosystem partners, and strategic services providers.

This role will serve as the executive owner of OpenAI's EMEA GTM partner ecosystem and will be responsible for transforming partnerships into a force multiplier for OpenAI's sales, deployment, and customer success motions.

Success in this role will directly influence OpenAI's ability to accelerate enterprise adoption, drive revenue growth, improve deployment velocity, and establish OpenAI as the foundational AI platform for enterprises across Europe.

In This Role, You WillPartner Strategy &amp; Ecosystem LeadershipDefine and execute OpenAI's EMEA GTM partnerships strategy, operating model, and business objectives.

Build and manage a portfolio of strategic partnerships that accelerate enterprise adoption and customer success.

Develop partner segmentation, investment frameworks, and governance models across the region.

Establish OpenAI as the preferred AI platform partner among Europe's leading consulting firms, systems integrators, and advisory organizations.

Identify emerging ecosystem opportunities and shape long-term regional partnership strategy.

Revenue &amp; Go-to-Market LeadershipOwn partner-sourced, partner-influenced, and partner-delivered business outcomes across EMEA.

Partner closely with regional sales leadership to create scalable co-sell and co-delivery motions.

Develop repeatable industry and functional transformation offerings built on OpenAI products.

Lead executive engagement for strategic enterprise opportunities and large-scale AI transformation programs.

Drive alignment between partner investments and regional growth priorities.

Ecosystem DevelopmentBuild and strengthen strategic relationships across:

Global Systems Integrators (GSIs)

Regional Systems Integrators

Advisory and Consulting Firms

Cloud and Infrastructure Providers

Industry-Specific Solution Providers

Managed Service Providers

Develop joint business plans and growth strategies with key partners.

Expand OpenAI's ecosystem reach across major European markets and industries.

Foster executive-level relationships that unlock new customer opportunities and market influence.

Operational ExcellenceEstablish governance frameworks, operating rhythms, and performance management systems for the partner ecosystem.

Drive partner enablement, certifications, delivery standards, and accountability mechanisms.

Allocate OpenAI's GTM, technical, and executive resources across the highest-impact opportunities.

Implement executive governance forums and escalation processes with strategic partners.

Ensure consistent customer experiences and execution quality across the region.

Team LeadershipRecruit, develop, and lead a high-performing team of GTM Partner Directors across EMEA.

Build a culture centered on customer outcomes, accountability, operational rigor, and long-term ecosystem development.

Coach leaders and create organizational structures that can scale alongside OpenAI's growth.

Foster strong collaboration across Sales, Success, Product, Marketing, Legal, and Operations.

You Might Thrive in This Role If YouHave 15+ years of experience in enterprise technology, cloud, AI, SaaS, consulting, business development, partnerships, or ecosystem leadership.

Have built and managed large-scale strategic alliance programs across multiple countries and markets.

Have owned significant partner-driven revenue outcomes and understand how ecosystems contribute to enterprise growth.

Have experience wor]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-04T01:17:49.249Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Full Stack - Cybersecurity Products]]></title>
    <date>2026-06-04T21:16:59.213Z</date>
    <referencenumber>cmq0in6hl00au277t8sdvq9wv</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-full-stack-cybersecurity-products-0d09b093</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Cybersecurity Products team builds products at the frontier of AI and cybersecurity. Our work includes Codex Security and related cyber products that turn advances in model capability into dependable tools for defenders. We help teams find, validate, and remediate vulnerabilities, continuously improve the security of software, and test AI-powered applications before they reach production.

About the Role

As a Full Stack Software Engineer, you will build the product experiences and systems that make AI-powered security useful in real engineering environments. You will work across web surfaces, APIs, orchestration, data models, and integrations to help security and engineering teams move from a codebase or application to evidence-backed findings, prioritized remediation, and revalidation.

You will collaborate closely with product engineers, security researchers, and customer-facing teams. The work spans fast-moving product development and hard systems problems: long-running workflows, large repositories, sensitive data, reliability, observability, and a high bar for earning user trust.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

 In this role, you will:

Build end-to-end workflows for vulnerability discovery, security scanning, red teaming, findings review, remediation, and reruns.

Design and operate backend services for long-running security work, including APIs, asynchronous orchestration, durable state, and integrations with developer workflows.

Make complex security results actionable through clear product surfaces, strong evidence, thoughtful prioritization, and reliable reporting.

Partner with security researchers, product teams, and users to evaluate quality, reduce noise, improve coverage, and ship safely.

 You might thrive in this role if you:

Have experience shipping production full-stack products across modern web frontends and backend services.

Can design clear APIs and data models, reason about asynchronous systems, and diagnose reliability or performance problems.

Care about building products that experts trust while making sophisticated workflows usable for a broader set of engineers.

Bring strong judgment around privacy, security, and correctness. Application-security or cybersecurity experience is helpful, but not required.

 

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-03T21:16:59.213Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Partner Business Intelligence]]></title>
    <date>2026-06-04T20:23:38.325Z</date>
    <referencenumber>cmq0in6j900b0277tzfk5ju2y</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/partner-business-intelligence-c41d1a1a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Seattle]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals together to advance AI responsibly and ensure its benefits are broadly shared.

OpenAI’s Go-To-Market (GTM) Partnerships team builds and scales a global ecosystem of strategic partners that accelerate AI adoption, expand customer impact, and extend OpenAI’s reach across industries and geographies. As the Partnerships organization rapidly expands, data has become a critical strategic asset. The ability to accurately measure partner influence, attribute customer outcomes, track performance against targets, and administer partner incentives is foundational to how OpenAI scales its ecosystem.

The Partner Business Intelligence team sits at the center of this effort, building the data infrastructure, attribution systems, reporting frameworks, and analytical foundations that power decision-making across the Partnerships organization.

About the Role

We are seeking a highly technical and business-minded leader to build and own the data foundation of OpenAI’s global Partnerships organization.

This role will be responsible for designing, building, and governing the Partnerships data model that serves as the source of truth for partner performance, attribution, pipeline influence, partner-sourced and partner-influenced revenue, incentive programs, forecasting, and executive reporting.

You will own the end-to-end architecture that powers how OpenAI measures partner impact internally and how we communicate performance externally to partners. This includes designing attribution methodologies, defining performance metrics, building scalable data pipelines, establishing reporting frameworks, and creating the infrastructure that supports partner incentive calculations and payouts.

This is a uniquely high-impact role. As OpenAI scales its partner ecosystem, the accuracy and integrity of our attribution framework will directly influence hundreds of millions of dollars in partner incentives and strategic investments. Over the next year, we expect approximately $XXXM in partner incentives, with roughly $XXXM directly dependent on the attribution systems and performance infrastructure owned by this team.

The ideal candidate combines deep expertise in analytics engineering, business intelligence, data modeling, and executive stakeholder management with the ability to translate complex business relationships into scalable and auditable systems.

In This Role, You Will

Build and Own the Partnerships Data FoundationDesign and maintain the canonical Partnerships data model across partners, opportunities, customers, revenue, incentives, competencies, activities, and performance metrics

Establish the authoritative source of truth for partner-sourced, partner-influenced, co-sell, marketplace, and ecosystem-driven business

Define data governance standards, metric definitions, and reporting methodologies across the Partnerships organization

Create scalable frameworks that support evolving partner motions, business models, and incentive structures

Develop Attribution and Performance InfrastructureDesign and continuously evolve OpenAI’s partner attribution methodology across complex multi-party sales motions

Build the systems and logic used to measure partner contribution throughout the customer lifecycle

Create auditable frameworks for determining partner influence, sourcing, acceleration, and value creation

Partner closely with Finance, Revenue Operations, and Partnerships leadership to ensure attribution methodologies are trusted, scalable, and financially defensible

Build Incentive and Payout InfrastructureDevelop the measurement systems that underpin partner incentive programs and financial payouts

Create scalable processes for incentive calculation, validation, reconciliation, and reporting

Ensure incentive-related metrics are transparent, explainable, and auditable

Support forecasting and planning processes tied to partner investment and incentive budgets

Deliver Business Intelligence and Executive InsightsBuild dashboards, reporting frameworks, and analytical tools used by executive leadership and field teams

Define and track partner performance targets, KPIs, and organizational scorecards

Develop forecasting models that support strategic planning and investment decisions

Generate insights that drive ecosystem growth, partner productivity, and GTM effectiveness

Build Data Products for Internal and External StakeholdersDesign partner-facing reporting experiences and data products

Establish frameworks for sharing performance metrics and business outcomes with strategic partners

Balance internal operational requirements with external partner reporting needs

Create scalable approaches for delivering trusted and actionable data to ecosystem stakeholders

Partner Cross-FunctionallyCollaborate clos]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-03T20:23:38.325Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Solutions Engineer, Pre-Sales]]></title>
    <date>2026-06-04T20:22:37.888Z</date>
    <referencenumber>cmq0in6il00ay277tywie1o1r</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/solutions-engineer-pre-sales-9d59e3df</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[São Paulo]]></city>
    <country>BR</country>
    <description><![CDATA[About the Team

The Technical Success team is responsible for the customer experience on both the OpenAI API platform as well as the ChatGPT Enterprise product, ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We are seeking a solutions engineer to partner with our customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with  Sales, Security, and Product teams.

In this role, you will:

Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.

Demonstrate how leveraging OpenAI APIs and ChatGPT can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.

Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.

Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.

Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

You’ll thrive in this role if you:

Have 5+ years of experience in a technical pre-sales or similar role, managing C-level technical and business relationships with complex global organizations.

Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.

Have foundational training in programming languages like Python or Javascript.

Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.

Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-03T20:22:37.888Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Manager, Partner AI Deployment Engineering - AWS]]></title>
    <date>2026-06-04T14:46:57.586Z</date>
    <referencenumber>cmq0in10d00am277tatczaooy</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/manager-partner-ai-deployment-engineering-aws-19618fe6</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the team

The AI Deployment Engineering (ADE) team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to customers and ecosystem partners, helping identify high-impact GenAI use cases and driving them into production through strong architectural guidance and hands-on execution.

The Partner ADE organization works closely with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale successful deployments of OpenAI technologies. As the leader of the AWS Partner ADE pod, you will manage a team of AI Deployment Engineers focused on enabling AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on OpenAI’s platform.

About the role

We are seeking a Manager, Partner AI Deployment Engineering – AWS to lead a team of AI Deployment Engineers supporting strategic AWS ecosystem partnerships. In this role, you will own the technical success strategy for AWS-aligned partners and help scale repeatable deployment motions.

Your team will guide partners and customers through the full AI implementation lifecycle—from solution design and architecture reviews through production deployment, optimization, and adoption growth. You will work cross-functionally with internal and external stakeholders across Sales, Partnerships, Product, Research, and Engineering teams to ensure the voice of partners and customers informs our platform roadmap and deployment strategy.

This role requires a blend of technical depth, customer leadership, operational rigor, and people management. Success will be measured through production deployments, partner technical maturity, API adoption growth, team development, and the overall impact of the AWS partner ecosystem.

This role is based in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Lead, mentor, and grow a team of AI Deployment Engineers supporting strategic AWS partner engagements and customer deployments.

Define the operating model, engagement strategy, and technical priorities for the AWS Partner ADE pod.

Partner closely with AWS partner leadership, solution architects, delivery organizations, and customer stakeholders to accelerate production adoption of OpenAI technologies.

Guide teams through complex generative AI and traditional ML deployments, including architecture reviews, implementation planning, security considerations, evaluation strategies, and operational readiness.

Serve as a senior technical escalation point for critical partner and customer engagements, helping teams navigate ambiguity and drive successful outcomes.

Collaborate with Product, Research, and Engineering teams to synthesize partner feedback into platform improvements, tooling enhancements, and deployment best practices.

Develop scalable enablement frameworks, reference architectures, and repeatable deployment patterns that improve partner effectiveness and reduce time-to-production.

Drive operational excellence across the team, including resource planning, prioritization, hiring, onboarding, performance management, and career development.

Act as an external thought leader on enterprise AI deployment, cloud-native AI architectures, and responsible AI adoption within the AWS ecosystem.

You might thrive in this role if you:

Have 8+ years of experience in technical customer-facing roles, including managing executive-level technical and business relationships with enterprise organizations and strategic partners.

Have 3+ years of experience leading high-performing technical teams in solutions engineering, deployment engineering, forward-deployed engineering, customer engineering, or post-sales environments.

Have hands-on experience deploying Generative AI and traditional ML systems into production environments, including familiarity with LLM application architectures, evaluation methodologies, orchestration frameworks, and operational best practices.

Have strong knowledge of AWS cloud infrastructure and modern cloud-native architectures, including networking, security, compute, storage, observability, and application deployment patterns.

Have experience working with cloud ecosystem partners, systems integrators, consultancies, or technical alliance organizations.

Have technical depth in software engineering or solution development using languages such as Python, JavaScript, or TypeScript.

Are comfortable balancing strategic leadership with hands-on technical engagement and operational execution.

Are an effective communicator who can translate complex technical concepts into clear business outcomes for executives, partners, developers, and customers alike.

Have a strong sense of ownership, humility, and curiosity, with a willingness to learn quickly and help others succeed in ambig]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-03T14:46:57.586Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Solutions Engineer, Digital Natives]]></title>
    <date>2026-06-04T07:25:27.380Z</date>
    <referencenumber>cmq0in6i000aw277tjtv2m2ob</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/solutions-engineer-digital-natives-21cbdd41</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Paris]]></city>
    <country>FR</country>
    <description><![CDATA[About the Team

The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer, you’ll help companies across industries transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.

About the Role

We are seeking an experienced pre-sales solutions engineer to partner with our Digital Natives customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Sales, Customer Success, Security, and Product teams.

This role is based in our Paris office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.

Demonstrate how leveraging ChatGPT and the OpenAI API can meet customers’ business needs and deliver substantial business value, including, but not limited to, building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.

Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.

Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

You’ll thrive in this role if you:

Have 5+ years of experience in a technical pre-sales role, managing C-level technical and business relationships with complex global organizations.

Have full professional fluency in both German and English.

Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.

Have industry experience in programming languages like Python or Javascript and working with REST APIs.

Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.

Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in th]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-03T07:25:27.380Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Technical Lead Manager, Data Engineering, Trust & Safety]]></title>
    <date>2026-06-04T03:48:06.794Z</date>
    <referencenumber>cmpz37cu600cuce5nefvymi46</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/technical-lead-manager-data-engineering-trust-safety-35bfe08a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe Applied team brings OpenAI’s technology to the world through products used by hundreds of millions of people and by developers and businesses building on our APIs. We work across research, engineering, product, policy, safety, and operations to deploy frontier AI systems responsibly and safely.

The Trust &amp; Safety Data Engineering team builds the data foundations that help OpenAI understand, detect, investigate, and mitigate abuse and safety risks across our products. We partner with Integrity, Investigations, Safety Systems, Product Policy, Privacy, Data Science, Engineering, and Data Platform to create reliable, privacy-safe datasets and pipelines for fraud and abuse detection, enforcement workflows, safety measurement, ML feature generation, launch readiness, and transparency reporting.

About the RoleWe are hiring a Technical Lead Manager to lead and grow the Trust &amp; Safety Data Engineering team. This is a hands-on leadership role for someone who can set strategy, shape data architecture, align senior stakeholders, coach engineers, and drive execution on high-impact data systems.

You will help turn fragmented launch and incident support into durable, reusable, privacy-safe data foundations that Trust &amp; Safety teams can rely on. The systems your team builds will help OpenAI detect risk, investigate abuse, power operational workflows, develop and evaluate safety models, measure interventions, support product launches, and report accurately on platform integrity.

In This Role, You WillLead and grow a high-performing Trust &amp; Safety Data Engineering team.

Define the roadmap and technical strategy for Trust &amp; Safety data systems.

Build canonical, privacy-safe datasets and pipelines for abuse detection, fraud detection, risk signals, enforcement, scaled review, transparency reporting, and safety monitoring.

Create reusable foundations for Trust &amp; Safety model development, including features, labels, training data, backtesting, evaluation, and production inputs.

Establish ownership, documentation, data quality standards, monitoring, and operational rigor for critical datasets and workflows.

Reduce dependence on sensitive raw logs by building structured alternatives with appropriate access controls, retention, deletion semantics, and governance.

Partner with Trust &amp; Safety, Product, Policy, Privacy, Data Science, Engineering, and Data Platform on launch readiness, operational systems, and safety measurement.

Raise the bar for technical judgment, prioritization, communication, and execution in a fast-moving environment.

You Might Thrive in This Role If YouHave 15+ years of experience in data engineering and have led data engineering teams that build and operate production data systems at scale.

Experience in trust and safety, integrity, abuse prevention, fraud, investigations, risk operations, safety systems, privacy, or adjacent domains.

Are deeply technical and comfortable with data architecture, modeling, pipelines, reliability, privacy, and operational tradeoffs.

Have experience with large-scale data systems such as Spark, Airflow or similar orchestration systems, distributed storage, batch/streaming pipelines, and modern warehouse patterns.

Think of data as a product: reliable, documented, governed, observable, discoverable, and designed for repeated use.

Can create clarity in ambiguous problem spaces and make principled tradeoffs quickly.

Have a strong track record partnering with senior stakeholders across engineering, data science, operations, policy, privacy, product, or executive teams.

Have hired, developed, and retained senior engineers.

Are motivated by building systems that make frontier AI products safer and more trustworthy.

Nice to HaveExperience supporting ML systems through feature engineering, training data, labels, model evaluation, or production model pipelines.

Experience with launch readiness, monitoring, alerting, incident response, semantic layers, metrics governance, or executive-facing reporting.

Workplace &amp; LocationThis role is based in our San Francisco HQ. We offer relocation assistance to new employees.

Please note: this role may involve work related to sensitive or concerning safety, abuse, fraud, or user-risk domains. Strong discretion, judgment, and resilience are essential.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national or]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-03T03:48:06.794Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Order Management & Billing Lead, Cloud Marketplaces & Partnerships - AWS]]></title>
    <date>2026-06-03T23:41:07.707Z</date>
    <referencenumber>cmpz37ctu00csce5nmq2a97r9</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/order-management-billing-lead-cloud-marketplaces-partnerships-aws-c5650943</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission.

The Order to Cash (OTC) team oversees the complete flow of commercial transactions from order intake and provisioning through billing, collections, and cash application — ensuring accuracy, compliance, and operational excellence in support of OpenAI’s mission to ensure artificial general intelligence benefits all of humanity.

About the Role

We are looking for a strategic and hands-on operator to support and scale our Order Management and Billing Operations function, with a focus on cloud marketplaces and partner billing operations. The immediate priority for this role will be supporting the operational readiness and ongoing billing workflows for our AWS partnership, while building scalable processes that can support additional cloud marketplaces and partner channels as OpenAI’s ecosystem expands.

This role will be responsible for managing the end-to-end order-to-invoice lifecycle across direct enterprise billing, cloud marketplaces, and other partner channels. This includes ensuring that contract terms, provisioning, pricing, usage, billing data, and partner-specific requirements flow seamlessly through our systems to produce accurate, timely, and audit-ready invoicing.

You will help define and execute our operating model across Order Management, Billing Operations, cloud marketplace workflows, and broader partner billing operations. You will partner closely with Revenue Systems, Product, Engineering, GTM, Finance, Partner Operations, and external partner stakeholders.

This role is critical in building the operational backbone that supports OpenAI’s expansion into cloud marketplaces, partner ecosystems, and new monetization channels. You will blend operational execution with process design, automation, cross-functional collaboration, and system optimization to improve billing reliability, controls, partner experience, and customer outcomes.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Own end-to-end billing operations for AWS and other partner channels, including usage ingestion, reconciliation, validation, invoicing, credits, exceptions, and alignment with collections and cash application.

Build and scale repeatable billing processes for cloud marketplaces, partner channels, and ecosystem-based business models as OpenAI expands its partnerships.

Manage partner billing constructs, including pricing models, credits, discount structures, invoice validation, reporting requirements, and exception handling.

Partner closely with AWS and other external partners to resolve billing discrepancies, reporting gaps, short payments, and escalations that could impact customers or partner relationships.

Support the onboarding of new cloud marketplaces and partner channels by defining operational requirements, controls, workflows, and readiness criteria.

Scale execution through BPO and offshore teams, including workflow design, SOP development, training, and quality controls to ensure consistent and accurate execution across Order Management and Billing Operations.

Embed AI and automation into Order Management, Billing, and partner workflows to reduce rework, eliminate manual intervention, and proactively identify discrepancies before they become billing- or revenue-impacting issues.

Partner cross-functionally with Revenue Systems, Product, Engineering, GTM, Legal, Deal Desk, Finance, and Partner Operations to ensure quoting, provisioning, billing, ERP, and partner workflows remain aligned and scalable.

Ensure data completeness and accuracy during month-end close by validating that order, pricing, billing, usage, and partner transaction data are fully captured and reconciled before flowing into revenue systems.

Establish KPIs and dashboards that measure billing accuracy, automation rates, cycle times, partner escalations, and overall operational throughput.

Develop and maintain operational documentation, including SOPs, playbooks, runbooks, and training materials, to support consistent execution and team scalability.

You might thrive in this role if you have:

7+ years of experience in Billing Operations, Order Management, partner billing, cloud marketplace operations, or usage-based billing environments.

Strong understanding of partner or marketplace billing models, including usage-based billing, pricing structures, credits, discounting, invoicing, reconciliation, and exception management.

Experience working with cloud marketplaces, external partners, or ecosystem-based business models.

Experience launching or operationalizing new partner channels, including defining workflows, controls, and cross-functional requirements.

Hands-on experience with CPQ, ERP, and billing platforms, such as Salesforce, Oracle Fusion, NetSuite, Stripe, or Metronome.

Strong ana]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-02T23:41:07.707Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Codex Cloud Apps]]></title>
    <date>2026-06-03T23:39:38.487Z</date>
    <referencenumber>cmpgih05502z8v2xqtsbuerm7</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-codex-cloud-3ff53afb</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Codex Cloud Apps team builds cloud-native agentic products that reimagine how software is created, reviewed, deployed, and operated. We own end-user experiences such as ChatGPT Sites, Code Review, and future agentic automation products that allow individuals and organizations to delegate increasingly complex work to AI.

Our team sits at the intersection of product, engineering, design, and research. We work directly with customers and internal teams to discover entirely new workflows enabled by AI agents, then rapidly turn those ideas into production products used by millions of users and enterprises around the world.

 About the Role

In this role, you'll help define what AI-native software products look like. You'll build experiences that allow users to collaborate with AI agents, automate complex workflows, and create entirely new classes of applications that weren't previously possible.

You'll work across product design, backend systems, frontend experiences, enterprise features, and model capabilities to ship products quickly, learn from real-world usage, and continuously improve how people use agents in the cloud.

 In this role, you will:

Design and build end-to-end agentic product experiences across web, desktop, mobile, APIs, and integrations.

Work directly with customers to understand how individuals and organizations adopt AI agents, and translate those insights into product direction.

Build products such as AI-powered code review, application generation, workflow automation, and future agentic experiences.

Partner closely with research teams to transform new model capabilities into usable, reliable customer-facing features.

Design enterprise-ready capabilities including identity, governance, permissions, compliance, auditability, and analytics.

Prototype quickly, ship frequently, and use product telemetry and customer feedback to guide iteration.

Help define entirely new interaction patterns between humans and AI agents to accomplish tasks together.

You might thrive in this role if you:

Have strong full-stack engineering skills and experience shipping customer-facing products from concept to production to refinement.

Strong product instincts and a track record of turning ambiguous ideas into successful products.

Experience building developer tools, SaaS products, workflow systems, collaboration tools, or AI-powered products.

Experience working closely with users and customers and translating feedback into product improvements.

Familiarity with modern AI-assisted development workflows and agentic software systems.

Experience with enterprise software concepts such as identity, permissions, governance, compliance, and integrations.

Comfort working across frontend, backend, APIs, data models, and product design.

Enjoy fast-moving 0→1 environments and are excited by defining entirely new categories of software.

 

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Codex, Cloud, Distributed Systems, Operators, CI/CD, SSO, SAML, OIDC, SCIM, Kubernetes, Python, Rust, APIs]]></skills>
    <expirationdate>2026-08-02T23:39:38.487Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Strategic Hardware Partnerships]]></title>
    <date>2026-06-03T23:14:17.849Z</date>
    <referencenumber>cmpz378vx00cgce5nq0b347rg</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/strategic-hardware-partnerships-81eee750</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Role
We are a small, fast-moving partnerships team that shapes and executes OpenAI’s most strategic collaborations. In this role, you will own the end-to-end hardware partnership strategy and portfolio spanning silicon, systems, and manufacturing partners that make our product roadmap real. You will build deep relationships, set and ensure we have the right joint strategy and programs in place, lead cross-functional workstreams, and iterate on complex deals to break new ground and advance OpenAI’s most ambitious hardware programs.

You are a seasoned leader with deep experience in complex hardware ecosystems, comfortable operating amid ambiguity, and capable of driving alignment across executives, boards, and partners while simultaneously pushing critical programs to delivery. You have a background working closely with product and engineering leaders and expertise in strategic hardware and systems supply deals. You’re able to drive work at high velocity and can motivate external and internal partners including product, engineering, sales, finance, legal and operations.

Key Responsibilities:

Own strategic hardware partner relationships end-to-end. Be the primary point of contact internally and externally for OpenAI’s most important strategic hardware partners.

Define and drive joint strategy and roadmap alignment. Translate product and engineering priorities into partner roadmaps, milestones, and decision points (requirements, capacity, cost targets, reliability, and timelines).

Technical diligence and partner strategy. Evaluate build/buy/partner options, understand where advantages/risks sit, and provide clear recommendations grounded in technical and business analysis (silicon, connectivity, systems, device HW/SW stack, OS, etc.).

Structure and negotiate complex agreements. Lead negotiations across supply, capacity reservations, pricing/TCO, NRE/JDM/JDA structures, warranties/quality terms, IP/licensing, and launch/expansion/renewal mechanics.

Run operating rhythm and governance. Establish and lead QBRs, steering committees, and exec briefings. Unblock issues fast and hold both sides accountable to outcomes.

Measure and communicate impact. Own the KPI framework and reporting: secured capacity, cost reduction, on-time NPI, yield/quality, reliability, supply risk, and partner satisfaction; communicate progress crisply to leadership.

Build trusted, long-term relationships with partner executives; influence roadmaps, investment decisions, and capacity allocation.

Qualifications:

12+ years of experience in hardware partnerships, supply chain, sourcing, or commercial leadership within semiconductors, systems, consumer electronics, cloud infrastructure, or adjacent ecosystems.

Proven track record owning strategic, multi-year partner portfolios and closing first-of-kind or industry-defining agreements.

Deep experience across CM / ODM / JDM models, silicon partnerships, capacity planning, cost modeling, and lifecycle execution.

Demonstrated ability to operate at the executive level, influencing product and engineering strategy, investment decisions, and partner roadmaps.

Exceptional cross-functional leadership across engineering, operations, finance, legal, and security in high-stakes environments.

High judgment, strong negotiation instincts, and comfort making irreversible decisions with incomplete information.

Thrives in fast-changing environments and brings clarity, structure, and momentum amid ambiguity.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a con]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-02T23:14:17.849Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Sales Strategy and Operations, ANZ]]></title>
    <date>2026-06-03T21:31:22.463Z</date>
    <referencenumber>cmpry00k000bgd4ee7kndp91z</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/sales-strategy-and-operations-anz-3ca8de47</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Sydney]]></city>
    <country>ES</country>
    <description><![CDATA[About the team

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

Our GTM team is uniquely positioned to help customers realize the transformative potential of advanced AI models for their businesses and end users. As part of the GTM Strategy &amp; Operations team, you’ll play a critical role in guiding the GTM strategy and driving the operational efficiency to accomplish this mission.

This role serves as a trusted advisor to GTM leadership—providing data-driven insights, managing core operating cadences, and leading high-impact projects that influence how we engage with customers and scale our business. You’ll collaborate cross-functionally with Finance, Enablement, Data and Growth Strategy teams to align efforts, drive efficiencies, and accelerate growth.

In this role you'll:

Drive GTM operating cadences (e.g. forecasting, pipeline review, top accounts review, monthly / quarterly business reviews) and conduct strategic analyses to determine trends and identify opportunities for process and strategy optimization.

Collaborate with GTM leadership and cross-functional stakeholders to develop go-to market strategy and resource plans.

Design and manage territory allocation to optimize sales team performance; Collaborate closely with the GTM leadership to ensure alignment with overall business objectives and provide data-driven recommendations for territory adjustments.

Lead strategic projects to improve efficiency and effectiveness across the revenue organization.

Partner closely with technical teams to implement processes systematically.

Work closely with the data team to ensure data accuracy and availability for revenue-related activities.

You might thrive in this role if you have:

The ability to operate with high horsepower, be adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritization.

The ability to thrive in ambiguity and work autonomously.

Strong communication skills and executive presence.

An understanding of the AI landscape, our applications, and the problems they solve for our customers.

Strong analytical skills with a focus on attention to detail.

Experience building territories, comp plans, setting quotas for GTM teams and using Salesforce.com.

Exceptional project management skills, with experience leading complex, cross-functional initiatives.

Exceptional organizational skills.

7+ years experience in revenue operations or strategy at a high-growth, technology company.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[HTTP]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[HTTP, Salesforce, Project Management]]></skills>
    <expirationdate>2026-08-02T21:31:22.463Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Demo Studio Engineer]]></title>
    <date>2026-06-03T20:22:16.527Z</date>
    <referencenumber>cmpz37cgk00ckce5n80a13mx9</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/demo-studio-engineer-d4f9e754</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe Demo Studio translates OpenAI’s most advanced capabilities into tangible, high-impact customer experiences. We design and deliver the demos, applications, live experiences, and supporting content that help executives and practitioners understand what is possible with AI.

Our work sits at the intersection of product, engineering, design, marketing, and go-to-market. We operate as a hybrid product studio and live production team, building experiences that are technically credible, narratively compelling, and reliable in high-stakes settings.

About the RoleWe’re looking for a Demo Studio Engineer to help build the demo content, applications, workflows, and technical assets that power OpenAI’s major events, launches, executive programs, booths, breakouts, and scaled content experiences.

This role will partner closely with Demo Studio Leads, Content Leads, product teams, designers, and event production partners to create specific pieces of content for high-impact moments. Rather than owning the full demo portfolio for an event or initiative, you will build against the narrative, creative, and technical requirements defined by the Leads, helping turn ambitious demo concepts into polished, reliable, production-ready experiences.

You may work on main-stage demo assets, booth experiences, technical workflows, prototype applications, screen recordings, system outputs, explainers, scaled content modules, or other event-ready materials. The work requires technical fluency, strong craft, and an ability to understand how a demo moment fits into a broader story.

This role is designed as a growth path into broader demo ownership over time. As you build context and demonstrate strong judgment, you will be given increasingly complex workstreams, more ambiguous problem spaces, and opportunities to own larger pieces of the demo experience.

In this role, you will:Build demo content, applications, workflows, and technical assets for major events, launches, executive programs, booths, breakouts, and scaled content experiences

Work from requirements defined by Demo Studio Leads and Content Leads, translating narrative and creative direction into polished execution

Create specific demo moments and supporting assets that can be used in live settings, recorded content, digital experiences, sales enablement, and event follow-up

Partner with product, engineering, design, marketing, and event production teams to ensure demo content is accurate, reliable, and aligned to the intended story

Build and refine prototype applications, agent workflows, screen flows, data-backed experiences, and multimodal demo assets

Prepare demo materials for live execution, including system setup, screen records, presenter flows, backup assets, and operational checks

Support rehearsals, reviews, and iteration cycles by making fast, high-quality updates based on feedback from Leads and stakeholders

Help adapt live demo moments into scaled assets such as explainers, web modules, short-form clips, booth content, and customer-facing materials

Contribute to shared demo systems, reusable components, documentation, and best practices that improve quality and speed across the Demo Studio

Take on increasingly broad ownership over time, moving from defined asset execution toward larger demo work streams and event-level responsibilities

We’re looking for someone with:6+ years of experience building demos, prototypes, technical content, applications, or interactive experiences

Are technically fluent and comfortable working with APIs, AI systems, data, modern development tools, and product workflows

Can translate creative and narrative direction into concrete technical execution

Have strong attention to detail and care deeply about craft, reliability, usability, and polish

Are comfortable working in high-stakes environments such as launches, conferences, executive demos, or live event settings

Can move quickly through iteration while maintaining quality and accuracy

Understand how technical demos support a larger story, audience, and business objective

Are excited to work across live events and scaled digital content, from stage-ready moments to reusable assets

Collaborate well with creative, technical, product, marketing, and production stakeholders

Operate with ownership within a defined scope and are eager to grow into broader demo leadership responsibilities

Workplace &amp; LocationThis role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Occasional travel will be required.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at it]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-02T20:22:16.527Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Security Engineer, Platform]]></title>
    <date>2026-06-03T19:42:23.141Z</date>
    <referencenumber>cmpz37e7700d0ce5njjn9cfqf</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/security-engineer-platform-be94ff22</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Americas / Remote / Full-time]]></city>
    <country>ES</country>
    <description><![CDATA[Resend is growing fast, and there are now over 2 million developers using it. As the Platform Squad, we are responsible for the internal platform and reliability foundations that let Resend teams build, deploy, observe, and operate services safely.

This role is fully remote based in Americas or European timezones, with some expected travel for team offsites, conferences, meetups, and more.

Read more about how we work, how we hire, and what we value here.

In this role, you will…Build and improve the security foundations of Resend’s platform, including API keys, service permissions, secrets management, tenant isolation, audit logs, and internal access controls

Help design secure defaults for new services, workers, queues, databases, internal tools, and deployment pipelines

Improve detection and response for suspicious access, leaked credentials, abnormal sending behavior, privilege changes, and sensitive system events

Review and update our processes/pipelines so that security is “built-in”, not “bolt-on”

Raise the security bar

You will be a great fit if you...Have experience securing production infrastructure, cloud environments, APIs, developer platforms, or multi-tenant SaaS products

Can write code and are comfortable reading application, infrastructure, and deployment code

Understand authentication, authorization, secrets, IAM, logging, audit trails, incident response, and secure deployment pipelines.

Independently prioritize and drive your day-to-day as the first dedicated security hire

Prefer practical improvements over heavy processes

Are low-ego, direct, curious, and willing to learn from others

Care about developer experience and believe security should be easy to adopt

You will be an exceptional fit if you also...Have experience with email infrastructure, transactional email, sender reputation, domain verification, SPF, DKIM, DMARC, webhooks, or abuse prevention

Have secured cloud infrastructure using tools like AWS, Terraform, Kubernetes, Cloudflare, or similar systems

Have experience with open source security, GitHub organization hardening, package publishing, dependency review, or supply-chain security

Have helped a company prepare for SOC 2, ISO 27001, GDPR, enterprise security reviews, or customer trust processes without turning engineering into a compliance machine

Have built security observability, alerting, detection pipelines, or incident response workflows

Have worked closely with Trust &amp; Safety, anti-abuse, fraud, or platform integrity teams

Have experience designing security systems for high-scale developer products

What it means to join the team:Autonomy to "just ship it"

100% remote team with flexible working schedules

Modern tech stack (Next.js, Raycast, Notion, etc.)

Honest and low-ego team

Ownership of problems and solutions

Comp: $120,000 - $140,000 USD, commensurate with experience

About ResendWe are building the modern email sending platform for developers. We care deeply about quality, craft, and the developer experience.

Our fully remote team of 45 spans 13 countries and counting. We're backed by a16z, Y Combinator, and others. Meet the humans →]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-02T19:42:23.141Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Security Engineer, Platform]]></title>
    <date>2026-06-03T19:40:42.916Z</date>
    <referencenumber>cmpz37e8400d2ce5nn0ezuzrh</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/security-engineer-platform-a97213d6</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Europe / Remote / Full-time]]></city>
    <country>ES</country>
    <description><![CDATA[Resend is growing fast, and there are now over 2 million developers using it. As the Platform Squad, we are responsible for the internal platform and reliability foundations that let Resend teams build, deploy, observe, and operate services safely.

This role is fully remote based in Americas or European timezones, with some expected travel for team offsites, conferences, meetups, and more.

Read more about how we work, how we hire, and what we value here.

In this role, you will…Build and improve the security foundations of Resend’s platform, including API keys, service permissions, secrets management, tenant isolation, audit logs, and internal access controls

Help design secure defaults for new services, workers, queues, databases, internal tools, and deployment pipelines

Improve detection and response for suspicious access, leaked credentials, abnormal sending behavior, privilege changes, and sensitive system events

Review and update our processes/pipelines so that security is “built-in”, not “bolt-on”

Raise the security bar

You will be a great fit if you...Have experience securing production infrastructure, cloud environments, APIs, developer platforms, or multi-tenant SaaS products

Can write code and are comfortable reading application, infrastructure, and deployment code

Understand authentication, authorization, secrets, IAM, logging, audit trails, incident response, and secure deployment pipelines.

Independently prioritize and drive your day-to-day as the first dedicated security hire

Prefer practical improvements over heavy processes

Are low-ego, direct, curious, and willing to learn from others

Care about developer experience and believe security should be easy to adopt

You will be an exceptional fit if you also...Have experience with email infrastructure, transactional email, sender reputation, domain verification, SPF, DKIM, DMARC, webhooks, or abuse prevention

Have secured cloud infrastructure using tools like AWS, Terraform, Kubernetes, Cloudflare, or similar systems

Have experience with open source security, GitHub organization hardening, package publishing, dependency review, or supply-chain security

Have helped a company prepare for SOC 2, ISO 27001, GDPR, enterprise security reviews, or customer trust processes without turning engineering into a compliance machine

Have built security observability, alerting, detection pipelines, or incident response workflows

Have worked closely with Trust &amp; Safety, anti-abuse, fraud, or platform integrity teams

Have experience designing security systems for high-scale developer products

What it means to join the team:Autonomy to "just ship it"

100% remote team with flexible working schedules

Modern tech stack (Next.js, Raycast, Notion, etc.)

Honest and low-ego team

Ownership of problems and solutions

Comp: $120,000 - $140,000 USD, commensurate with experience

About ResendWe are building the modern email sending platform for developers. We care deeply about quality, craft, and the developer experience.

Our fully remote team of 45 spans 13 countries and counting. We're backed by a16z, Y Combinator, and others. Meet the humans →]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-02T19:40:42.916Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Engineer]]></title>
    <date>2026-06-03T19:21:48.843Z</date>
    <referencenumber>cmpz37e6400cyce5nq1zuzh6w</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-engineer-71fe0dd8</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Europe / Remote / Full-time]]></city>
    <country>ES</country>
    <description><![CDATA[Resend is growing fast, and there are now over 2 million developers using it. As a Product Engineer, you will help shape the core product experience of Resend.

This role is for someone who cares about both how the product works and how the product feels. You should be comfortable moving between frontend, backend, product thinking, design details, and user experience.

This role is fully remote based in Americas or European timezones, with some expected travel for team offsites, conferences, meetups, and more.

Read more about how we work, how we hire, and what we value here.

In this role, you will…Build polished product experiences for users using Resend.

Turn complex technical concepts into simple, clear, and trustworthy user experiences.

Own features end-to-end: product thinking, UX details, implementation, instrumentation, launch, and iteration.

Collaborate closely with design, engineering, and customer success to understand user problems and ship high-quality solutions.

Build debugging and observability experiences that help users understand what happened to their emails, webhooks, domains, and API requests.

Work primarily with TypeScript, React, Next.js, and modern web technologies.

Talk to users, understand customer pain, and turn those insights into better product decisions.

Help raise the bar for craft, performance, accessibility, reliability, and product quality across Resend.

You will be a great fit if you...Have 6+ years of experience building and shipping high-quality web products.

Are fluent in writing and speaking English.

Have strong experience with TypeScript, React, and modern frontend development.

Are comfortable working across the stack, including APIs, databases, server-side logic, and product infrastructure.

Care deeply about UX, interaction details, and product polish.

Can take an ambiguous customer problem and turn it into a clear, shippable solution.

Have strong product judgment

Love helping developers and care about developer experience

Are comfortable working in open-ended problems and situations

Have a “default to action” mindset

Are hands-on and enjoy solving problems directly

Have low ego and enjoy collaborating with design, engineering, and customer success

You will be an exceptional fit if you also...Have built products for developers, infrastructure teams, or technical users

Have experience with email, deliverability, DNS, webhooks, logs, observability, or API platforms

Have strong visual taste and can build interfaces that feel fast, simple, and polished

Have experience working in small, high-ownership teams

What it means to join the team:Autonomy to "just ship it"

100% remote team with flexible working schedules

Modern tech stack (Next.js, Raycast, Notion, etc.)

Honest and low-ego team

Ownership of problems and solutions

Comp: $150,000 - $170,000 USD, commensurate with experience

About ResendWe are building the modern email sending platform for developers. We care deeply about quality, craft, and the developer experience.

Our fully remote team of 45 spans 13 countries and counting. We're backed by a16z, Y Combinator, and others. Meet the humans →]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-02T19:21:48.843Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Engineer]]></title>
    <date>2026-06-03T19:21:08.507Z</date>
    <referencenumber>cmpz37e5q00cwce5ntqcg5w6t</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-engineer-df8956e7</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Americas / Remote / Full-time]]></city>
    <country>ES</country>
    <description><![CDATA[Resend is growing fast, and there are now over 2 million developers using it. As a Product Engineer, you will help shape the core product experience of Resend.

This role is for someone who cares about both how the product works and how the product feels. You should be comfortable moving between frontend, backend, product thinking, design details, and user experience.

This role is fully remote based in Americas or European timezones, with some expected travel for team offsites, conferences, meetups, and more.

Read more about how we work, how we hire, and what we value here.

In this role, you will…Build polished product experiences for users using Resend.

Turn complex technical concepts into simple, clear, and trustworthy user experiences.

Own features end-to-end: product thinking, UX details, implementation, instrumentation, launch, and iteration.

Collaborate closely with design, engineering, and customer success to understand user problems and ship high-quality solutions.

Build debugging and observability experiences that help users understand what happened to their emails, webhooks, domains, and API requests.

Work primarily with TypeScript, React, Next.js, and modern web technologies.

Talk to users, understand customer pain, and turn those insights into better product decisions.

Help raise the bar for craft, performance, accessibility, reliability, and product quality across Resend.

You will be a great fit if you...Have 6+ years of experience building and shipping high-quality web products.

Are fluent in writing and speaking English.

Have strong experience with TypeScript, React, and modern frontend development.

Are comfortable working across the stack, including APIs, databases, server-side logic, and product infrastructure.

Care deeply about UX, interaction details, and product polish.

Can take an ambiguous customer problem and turn it into a clear, shippable solution.

Have strong product judgment

Love helping developers and care about developer experience

Are comfortable working in open-ended problems and situations

Have a “default to action” mindset

Are hands-on and enjoy solving problems directly

Have low ego and enjoy collaborating with design, engineering, and customer success

You will be an exceptional fit if you also...Have built products for developers, infrastructure teams, or technical users

Have experience with email, deliverability, DNS, webhooks, logs, observability, or API platforms

Have strong visual taste and can build interfaces that feel fast, simple, and polished

Have experience working in small, high-ownership teams

What it means to join the team:Autonomy to "just ship it"

100% remote team with flexible working schedules

Modern tech stack (Next.js, Raycast, Notion, etc.)

Honest and low-ego team

Ownership of problems and solutions

Comp: $150,000 - $170,000 USD, commensurate with experience

About ResendWe are building the modern email sending platform for developers. We care deeply about quality, craft, and the developer experience.

Our fully remote team of 45 spans 13 countries and counting. We're backed by a16z, Y Combinator, and others. Meet the humans →]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-02T19:21:08.507Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Counsel, Commercial]]></title>
    <date>2026-06-03T18:36:34.055Z</date>
    <referencenumber>cmpz37a5000cice5n4404zk69</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/counsel-commercial-d13ea477</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamOpenAI’s Legal team plays a crucial role in advancing our mission by tackling innovative and fundamental legal issues in AI. The team includes professionals from diverse legal fields – technology, AI, infrastructure, privacy, IP, corporate, employment, tax, regulatory, and litigation – who collaborate closely with colleagues across the company.

If you are passionate about being a technology lawyer working on cutting-edge challenges, you’ll thrive here.

 About the RoleWe are seeking an experienced commercial attorney to join our commercial legal team. Based in the US, you will help lead commercial legal support for OpenAI’s rapidly growing business, working with teams such as GTM, Partnerships, Procurement, Finance, Product, Infrastructure, and Engineering.

This is a great opportunity to join OpenAI’s commercial legal team, negotiating high-impact agreements and helping to build scalable frameworks for responsible growth.

This role is based in San Francisco, CA.  We use a hybrid work model of 3 days in the office per week.

In this role, you will:Serve as the legal partner for OpenAI’s business transactions, partnerships, and operations.

Provide practical, business-oriented legal advice to teams including Sales, Partnerships, Finance, Procurement, and Operations.

Identify and address commercial, product, regulatory, privacy, and other legal issues arising from commercial transactions.

Develop strategies and processes for handling legal issues in creative and scalable ways that support growth.

Monitor and advise on regulatory and compliance matters affecting AI and technology.

Collaborate with colleagues across OpenAI’s global legal team to ensure alignment across jurisdictions.

You might thrive in this role if you:Have 7+ years of experience across in-house and technology-focused law firm roles.

Bring a strong background in drafting and negotiating complex commercial contracts.

Are comfortable operating in an entrepreneurial environment, and are proactive and independent.

Communicate with clarity and business judgment, tailoring advice to enable responsible growth.

Build cross-functional relationships and adapt communication styles to diverse audiences.

Have a strong sense of ownership, intellectual curiosity, and enthusiasm for technology.

Can demonstrate sound judgment in ambiguous or fast-changing situations.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-02T18:36:34.055Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Community Operations Manager]]></title>
    <date>2026-06-03T17:58:32.841Z</date>
    <referencenumber>cmpz37gom00d4ce5nne1q9qgt</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/community-operations-manager-a1375888</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the role

In this role, you’ll be responsible for ensuring our community programs run smoothly and successfully. From managing our Ambassador sourcing process to supporting community events around the world. You’ll also have the opportunity to work on a variety of new initiatives like on-the-ground growth efforts for key markets, defining standardization across our programs, and launching new programs that engage our community at scale.

This is a builder role. You’ll define the roadmap for community operations while operating in a high-autonomy environment.

What you’ll do

Support program operations and event logistics across our Community programs, including but not limited to Ambassadors, Campus programs, and more

Lead and support support the infrastructure build and streamline internal processes to make programs run more effectively

Identify existing gaps and craft new workflows to remove inefficiencies

Work directly with our internal team to help shape and scale our global community programs

Interface directly with our Community members - you should feel energized and excited to meet developers globally who use Cursor

You may be a fit if

3-5 years at a high-velocity startup with a focus on operational work

Energized by community building and have a background in bringing diverse groups of people together

Operationally excellent, manage multiple work streams simultaneously without dropping details, even across time zones

Comfortable building your own tooling in Cursor and integrating with external tools

Strong bias toward action, not afraid to dive into the weeds and do whatever it takes to ship

You have empathy and understand what makes communities tick

Thrive in fast-paced environments, comfortable with ambiguity, energized by building new things

We are also open to Remote US candidates for this role.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-02T17:58:32.841Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[User Safety & Risk Operations Analyst, Global Response]]></title>
    <date>2026-06-03T17:04:47.070Z</date>
    <referencenumber>cmpz37ct400coce5n37p5be0i</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/user-safety-risk-operations-analyst-global-response-d2d2ef48</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Dublin]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

At OpenAI, our Trust &amp; Safety operations are central to protecting OpenAI’s platform and users from abuse. We serve a diverse customer base, ranging from individual users and early-stage startups to global enterprises, across ChatGPT and our API (and beyond!). Operating within our Support organization, our team works closely with Product, Engineering, Legal, Policy, Go To Market and Operations teams to ensure we're delivering the best possible experience to our users at scale while keeping OpenAI and users safe.

About the Role

We are looking for experienced Trust &amp; Safety Analysts to collaborate closely with internal teams to ensure safety and compliance on OpenAI platforms. You will be a stakeholder in the design and implementation of policies, processes, and automated systems to take action against bad actors and minimize abuse at scale, handle high risk &amp; high visibility customer cases with care, and build feedback loops to improve our trust &amp; safety policies and detection systems. Ideally, you have worked in a high-paced startup environment, have handled a breadth of integrity related issues of varying sensitivity and complexity, and are comfortable with building processes and systems from zero to one.

This is a 24/7 global operation that requires flexibility to work rotating shifts, including nights, weekends, and holidays, as part of an on-call coverage model.

Please note: This role may involve handling sensitive content, including material that may be highly confidential, sexual, violent, or otherwise disturbing.

This role is based in Dublin, Ireland. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Work directly with customers to resolve complex trust and safety, usage policy, and compliance issues, working with account teams as needed

Partner with Product, Engineering, Legal, Operations, and Vendor teams to develop, implement, and scale new processes, tooling, and automation strategies

Build, launch, and scale operational processes for human-in-the-loop labeling, user reporting and content moderation, customer appeals, escalations, and more

Perform risk evaluations and investigations by reviewing documentation, internal data, and 3rd party data in order to identify new abuse trends

Analyze data to identify user trends and build feedback loops to drive improvements with product, engineering, policy, and other ops teams

Serve as an incident manager for high complexity cases, acting as a nexus between our product, compliance, legal, ops, and customer-facing teams

Equip other teams with best-in-class training, playbooks, and workflows—and bring about a deep technical understanding of our trust and safety systems and users’ needs

Develop a deep understanding of our usage policies and content integrity issues and how they affect users across all our products and educate our clients on our policies - bring judgment and policy expertise to bear

You might thrive in this role if you:

Are comfortable with building. This is an opportunity to help with scaling everything from policy enforcement through to the tooling stack to enable it. Technical or data skills are definitely a plus in this role.

Have 5+ years of experience and a demonstrated passion for trust and safety, detection / investigation of malicious behavior, compliance operations, or other similar teams

Bring excellent problem-solving skills and the ability to comprehend and communicate complex technical issues.

Demonstrate strong project and program management skills with the ability to prioritize tasks, manage multiple projects simultaneously, and have a bias for action

Have proven experience in scaling operations and building strong relationships cross-functionally to drive performance improvements.

Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.

Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional inform]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-02T17:04:47.070Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Host Systems Software Engineer]]></title>
    <date>2026-06-03T16:55:05.751Z</date>
    <referencenumber>cmpz37csi00cmce5n2gesz8vk</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/host-systems-software-engineer-f5db909b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team
OpenAI’s Hardware organization develops custom silicon and system-level solutions for the unique demands of advanced AI workloads. The team works across hardware, systems architecture, and software to build infrastructure that enables high-performance, AI-native computing at scale. In close partnership with research, software, and external vendors, we bring up new platforms, integrate emerging technologies, and develop the host-side systems software needed to make these systems performant, reliable, and production-ready.

About the Role
We’re looking for an experienced systems software engineer to help define and build the host software stack for our custom next-generation AI systems. You will work close to the hardware on performance-critical software, including Linux kernel drivers, high-throughput I/O paths, and system-scale networking and RDMA.

This role spans architecture, implementation, platform bring-up, debugging, and performance optimization. You will work across hardware and software boundaries to make new systems usable end to end, from low-level device interfaces through userspace tooling and production validation.

In this role you will:

Design, implement, and debug host-side systems software for AI infrastructure, including Linux kernel drivers and supporting userspace components.

Build and optimize software paths for high-throughput, low-latency communication, including RDMA and related networking functionality.

Develop software around PCIe, DMA, NICs, accelerators, memory movement, and device interaction.

Bring up new hardware platforms and diagnose complex issues across kernel, firmware, networking, and hardware boundaries.

Build tooling for integration, testing, diagnostics, observability, qualification, and performance characterization.

Collaborate with hardware, networking, and platform teams to define interfaces and integrate new capabilities.

Work with external vendors where needed to integrate technologies and drive issues to resolution.

Contribute across the systems software stack as the platform and team evolve.

Help shape the technical direction and engineering practices for a growing systems software stack.

You might thrive in this role if you have:

Experience building low-level or performance-critical systems software.

Strong programming skills in C or C++, with proficiency using Python and Linux tooling for automation and debugging.

Strong Linux systems fundamentals and the ability to debug across hardware and software boundaries.

Hands-on experience in at least one relevant area, such as Linux kernel drivers, kernel networking, RDMA, PCIe, DMA, NIC software, accelerator software, or high-performance I/O.

Experience owning complex software projects from design through implementation, bring-up, and validation.

Ability to thrive in ambiguity, work across subsystem boundaries, and build systems from scratch.

Strong cross-functional communication skills.

Preferred Qualifications

Experience developing Linux kernel drivers or other OS-level performance-critical components.

Familiarity with RDMA or RoCE, ibverbs, kernel networking, or congestion-control concepts such as ECN and DCQCN.

Experience with PCIe, DMA, peer-to-peer communication, SR-IOV, IOMMU, dma-buf, or related accelerator and I/O subsystems.

Experience bringing up accelerators, NICs, SoCs, or custom hardware platforms.

Experience profiling and optimizing high-throughput, low-latency systems.

Familiarity with Rust or experience using Rust for systems programming.

To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-ba]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-02T16:55:05.751Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Forward Deployed Engineer - EMEA]]></title>
    <date>2026-06-03T16:21:44.912Z</date>
    <referencenumber>cmpz37gv300d6ce5nhpbk3d90</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/forward-deployed-engineer-emea-2b63c483</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the roleForward Deployed Engineers embed directly with customer engineering teams to ship production-grade Cursor workflows that measurably improve how they build software.

You’ll figure out what’s actually slowing a team down, design a practical solution, and own it end-to-end, from first discovery call through launch, iteration, and post-production support. This is not a demo role. You are responsible for systems that work in the real world.

 What you’ll doLead discovery with customer engineers to identify the real bottleneck and define clear success metrics

Design and build Cursor-powered workflows (e.g., large-scale refactors, migrations, PR review loops, incident → fix pipelines, spec → implementation systems)

Ship a fast first version in days, then harden it into something reliable over weeks with proper rollout plans, monitoring, and iteration based on real usage

Own production quality: tracing, evals, metrics, debugging model behavior, latency/cost tradeoffs, and failure modes

Work directly with Staff+/Platform/Eng leaders — going deep in code while also communicating clearly about tradeoffs and results

Turn what you build into reusable patterns and push improvements back into the core Cursor product

 You may be a fit ifYou thrive in ambiguity and can turn fuzzy problems into clear scopes and shipped systems.

You’ve built and owned AI-native workflows in production, not just prototypes, and have debugged real-world model failures

You’re comfortable leading discovery conversations and being accountable for customer outcomes

You build end-to-end. If it needs frontend, backend, infra, or prompt iteration, you’ll own it

You’ve handled production reliability before (metrics, alerts, safe rollouts, incident response)

You’re strong in Python and TypeScript/JavaScript and can ramp quickly on new stacks]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-02T16:21:44.912Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Consultor/a SAP SuccessFactors — Recruiting & Onboarding]]></title>
    <date>2026-06-03T10:52:34.039Z</date>
    <referencenumber>vac_ssff_rcm_onb_2606</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/sap-successfactors-recruiting-onboarding-bcn-mad</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Barcelona o Madrid]]></city>
    <country>ES</country>
    <description><![CDATA[Consultora líder en tecnología de RRHH busca un/a Consultor/a SAP SuccessFactors especializado/a en los módulos Recruiting (RCM) y Onboarding (ONB).

Qué buscamos:
• Experiencia sólida en SAP SuccessFactors Recruiting y Onboarding.
• Mínimo 3-4 implementaciones completas (end-to-end) en estos módulos.
• Capacidad para liderar talleres con cliente, diseño funcional y puesta en marcha.
• Valorable certificación en SuccessFactors.

Ubicación: Barcelona o Madrid. Incorporación estable.

Proceso confidencial: si encajas, te presentamos al cliente de forma anónima primero.

¿Qué te espera con ellos?
• Un proyecto innovador donde las ideas locas siempre son bienvenidas.
• Flexibilidad real para que puedas equilibrar tu vida personal y profesional.
• Contrato indefinido desde el día uno (porque creemos en relaciones a largo plazo).
• Beneficios sociales para cuidarte dentro y fuera del trabajo.
• Un entorno donde el aprendizaje es constante y las oportunidades de crecer, infinitas.
• Un equipo diverso, divertido y con ganas de cambiar las reglas del juego.

¿Te gustaría saber más o conoces a alguien interesado? Inscríbete en el formulario: https://www.theconsultingsolutions.com/inscripcion]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[SAP SuccessFactors Recruiting]]></category>
    <remotetype>Hybrid</remotetype>
    <skills><![CDATA[SAP SuccessFactors Recruiting, SAP SuccessFactors Onboarding]]></skills>
    <expirationdate>2026-08-02T10:52:34.039Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[B2B Marketing Lead, APAC]]></title>
    <date>2026-06-03T05:14:52.025Z</date>
    <referencenumber>cmpxnrbha0034ge7eovmdqmn9</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/b2b-marketing-lead-apac-1a35c0e6</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About the RoleWe are seeking an experienced and versatile APAC B2B Marketing Lead to drive OpenAI’s enterprise and B2B marketing strategy across the Asia-Pacific region. This is a critical leadership role for a full-stack B2B marketer with strong regional judgment—someone who can operate across diverse markets, build foundational capabilities, and deliver high-impact programs that support revenue growth and long-term trust.

This role will be responsible for shaping and executing integrated B2B marketing initiatives that support enterprise adoption, partner-led growth, and developer-adjacent business audiences across APAC. The ideal candidate brings deep experience working with sales-led GTM teams, navigating complex stakeholder environments, and translating global strategy into locally effective execution across multiple APAC markets.

Key ResponsibilitiesLead the development and execution of APAC B2B marketing strategy, aligned with global priorities and regional GTM objectives.

Drive full-funnel B2B marketing programs across field, content, customer marketing, events, and partner marketing.

Partner closely with GTM, Partnerships, Product Marketing, Comms, and Global Affairs to deliver integrated programs that support enterprise adoption and pipeline growth.

Translate global B2B narratives and launches into regionally relevant, market-specific execution across priority APAC markets (e.g., India, Korea, Japan, ANZ, Southeast Asia).

Establish strong regional marketing operating rhythms, including planning cycles, agency management, budget oversight, performance measurement, and reporting.

Act as the regional voice for APAC B2B marketing, bringing market insight, customer perspective, and local nuance into global strategy discussions.

Build and scale foundational B2B marketing capabilities in-region, with an eye toward future team growth and specialization.

Qualifications10+ years of experience in B2B or integrated marketing, ideally within technology, platforms, or high-growth environments.

Proven track record of building and executing B2B marketing programs that support enterprise or partner-led GTM motions across multiple markets or regions.

Strong understanding of APAC enterprise buying dynamics, including the role of trust, regulation, partners, and local proof points.

Demonstrated ability to operate at both strategic and executional levels in fast-moving, ambiguous environments.

Experience working closely with Sales, GTM, Partnerships, Product Marketing, and Comms teams in a matrixed organization.

Excellent communicator and collaborator, with strong stakeholder management and influence skills across cultures and geographies.

Experience managing teams, agencies, vendors, and regional partners across APAC preferred.

Nice to HaveExperience marketing AI, developer, or highly technical products.

Familiarity with regulated industries or trust-sensitive enterprise environments.

Prior experience leading regional or global marketing scopes.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-02T05:14:52.025Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Engineering Manager, Evals]]></title>
    <date>2026-06-03T03:25:05.728Z</date>
    <referencenumber>cmpxnrjk0003yge7ea90bxafy</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/engineering-manager-evals-8b713e1a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the RoleAs an Engineering Manager on the Evals team at Cursor, you’ll lead the group responsible for creating high-signal evaluation datasets for coding agents and building the tools engineers use to write and run them. The team also owns online evaluation systems that track agent quality in production, and the close integration between online and offline evaluations.

The evaluation systems that this team builds, including CursorBench, are critical in the development of our coding models and the quality of our Cursor agents. Your impact will compound across every Cursor product and every Cursor model by making quality measurable, comparable, and easy to improve.

What you’ll doSet the eval roadmap end-to-end—what we measure, why it matters, and how signals turn into shipping + training decisions.

Lead and grow a high-impact team of engineers and researchers building eval datasets and developer-friendly tools to write and run evals.

Guide the next generation of CursorBench so it continues to reflect real developer workflows at Cursor, and expand it with new evals that measure other properties developers value.

Define crisp online quality signals and turn regressions into robust guardrails.

Integrate evals into decision-making cadence for launches, deploys, and model training loops.

You may be a fit ifYou’ve led engineering teams shipping production systems and have strong people leadership and coaching skills.

You can align research, product, data, and infrastructure on what “good” means—and turn that into durable metrics, processes, and release/training rituals.

You have good taste and strong opinions on model and agent behaviors, and you stay up-to-date on emerging research and industry trends.

You have strong data acumen, and can collaborate effectively with data scientists and researchers.

You’ve built and operated evaluation or measurement systems (e.g., AI evals, experimentation platforms, ranking/relevance, search quality, or reliability instrumentation).

#LI-DNI]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cursor]]></skills>
    <expirationdate>2026-08-02T03:25:05.728Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Scientist, GTM]]></title>
    <date>2026-06-03T03:04:46.838Z</date>
    <referencenumber>cmpxnrjjo003wge7ethzruoi8</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/staff-data-scientist-gtm-b9c7ac5b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

Cursor is expanding rapidly into the Enterprise AI coding market, and our GTM organization is scaling just as fast. As one of the first hires on our GTM Analytics team, you'll be the most senior IC on the team — both building the data infrastructure GTM runs on and turning it into the metrics, models, and insights leadership uses to make decisions.

About the role

This is a hands-on, high-leverage role. You'll set the technical and analytical bar for the team. You'll own the GTM data models and pipelines that matter, build a trustworthy semantic layer reps and leadership can build from, and use that foundation to answer the hard questions about what's driving pipeline, conversion, and retention. You'll define how GTM interacts with data in an AI-first way, work with the GTM Apps team and RevOps to keep tooling consistent, and partner with the product Data and Enterprise Engineering teams to get the data you need.

What you’ll do

Own the GTM data models and pipelines that power analysis - building and maintaining them, setting high quality standards, and creating a safe and consistent semantic layer GTM can build on.

Run deep-dive analyses on what's driving (and blocking) revenue: funnel conversion, segment performance, customer success, and rep productivity.

Optimize the forecasting, quota, and capacity models leadership plans against, and pressure-test the assumptions behind them.

Define how GTM interacts with data in an AI-first way—what's self-serve via Cursor and what's prebuilt into governed dashboards and applications.

Partner with the product Data and Enterprise Engineering teams to ensure GTM has the data it needs and uses consistent pipelines, definitions, and models wherever possible.

You may be a fit if

Your SQL is exceptional (non-negotiable), and you're fluent working across large, complex datasets.

You've built and maintained production data pipelines and models, and you pick up unfamiliar data structures quickly—CRM and GTM systems included.

You've built forecasting, quota, or capacity models, and you're a strong modeler in both code and spreadsheets.

You're comfortable with experimentation and causal inference, and you know when a quick read beats a rigorous one—and when it doesn't.

You can operationalize metrics and tooling for non-technical stakeholders so they can self-serve.

You have strong analytical judgment and can move between the big picture and the details—from "how should we measure GTM health?" to "why is this one segment's conversion off?"

Direct experience with GTM, revenue, or sales analytics is preferred, but a strong analytics or data-science background and the drive to go deep on the GTM domain matter more.

You operate with high ownership, are comfortable pushing back on senior leaders, and bias toward durable systems over one-off decks.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[SQL]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[SQL]]></skills>
    <expirationdate>2026-08-02T03:04:46.838Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Solutions Architect - APJ]]></title>
    <date>2026-06-03T00:59:55.427Z</date>
    <referencenumber>cmpxnrjjc003uge7ennmutjsf</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/solutions-architect-apj-028f9dcc</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the roleWe’re hiring Solution Architects to help the world’s best engineering organizations figure out what AI-native software development actually looks like in production.

This is a deeply technical, post-sale role embedded inside Cursor’s most strategic enterprise accounts. You’ll work directly with engineering teams to roll out high-impact workflows, accelerate adoption, and help organizations fundamentally rethink how software gets built with AI.

Solution Architects sit at the center of long-term customer transformation. You’ll help customers move from initial excitement to deeply integrating engineering workflows that teams rely on every day. That means understanding how modern software organizations operate, identifying where Cursor can create the most leverage, and helping customers scale adoption across teams, platforms, and workflows over time.

This role is highly hands-on. You’ll configure environments, design workflows, run enablement sessions, and solve technical problems directly with developers and platform teams inside complex enterprise environments. You’ll also help engineering leaders think through rollout strategy, workflow evolution, and the long-term architecture for AI-native development.

The best Solution Architects combine deep technical credibility with strong product instincts, high ownership, and the ability to influence how large engineering organizations evolve. Solution Architects are also equally comfortable debugging CI workflows, leading architecture reviews, and helping executives understand where AI changes the economics of software development.

What you'll doHelp Engineering Teams Adopt AI-Native DevelopmentRoll out Cursor across strategic engineering organizations

Configure environments, design workflows, and run hands-on enablement sessions

Help developers integrate Cursor into real production workflows, not isolated demos

Drive fast time-to-value and durable adoption across teams

Identify workflow friction and solve problems quickly

Expand Cursor Across the OrganizationIdentify where Cursor should expand next inside the customer environment

Help engineering organizations evolve from isolated usage to company-wide adoption

Design rollout strategies for new workflows, teams, and platform groups

Partner with customers to operationalize AI-assisted development at scale

Work closely with Account Executives during major expansion moments

Become a Trusted Technical PartnerBuild deep relationships with developers, platform teams, engineering leadership, and executive stakeholders

Lead architecture reviews, technical working sessions, and strategic planning discussions

Advise customers on developer productivity, workflow design, governance, and AI adoption strategy

Coordinate across Sales, Product, Engineering, and Customer Success to unblock customer progress

Help organizations navigate workflow and operational change as AI-native development evolves

Drive Real Customer OutcomesHelp customers translate adoption into measurable engineering impact

Connect Cursor usage to outcomes like faster iteration cycles, improved developer productivity, workflow efficiency, and engineering quality

Help customers communicate the value of Cursor internally and build momentum for broader adoption

Turn successful deployments into repeatable workflow patterns across the organization

Help Make Cursor IndispensableDeepen workflow adoption and long-term product stickiness

Monitor competitive risk and help customers standardize on Cursor over time

Support recovery plans when adoption slows or competing tools gain traction

Help customers build workflows they can’t imagine operating without

Shape the Future of the ProductBring structured feedback from strategic customers into Product and Engineering

Identify emerging workflow patterns, friction points, and enterprise requirements

Help shape new capabilities through lighthouse customers and design partnerships

Turn successful customer workflows into reusable playbooks and reference patterns

You may be a fit ifYou have a strong technical background in software engineering, infrastructure, DevOps, platform engineering, or developer tooling

You have experience in customer-facing technical roles such as Solution Architect, Solutions Engineer, Forward Deployed Engineer, Technical Account Manager, Enterprise Architect, or similar

You have the ability to work hands-on with engineering teams while also operating strategically with technical leadership

You have a strong understanding of developer workflows, SDLC tooling, integratio]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cursor, DevOps, SDLC, CI/CD]]></skills>
    <expirationdate>2026-08-02T00:59:55.427Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Strategic Sourcing Lead, Technology (Ads and Consumer Verticals)]]></title>
    <date>2026-06-03T00:42:12.710Z</date>
    <referencenumber>cmpxnretf003mge7eo6dnru5i</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/strategic-sourcing-lead-ads-consumer-verticals-a1e1e856</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI Finance ensures the organization is commercially, operationally, and structurally set up to deliver on OpenAI’s mission at global scale.

The Strategic Sourcing team partners with Product, Engineering, Security, Legal, and Finance to ensure OpenAI acquires the critical external technology, platforms, and services needed to launch new products, operate safely, and monetize globally with speed, resilience, and commercial discipline.

This role is based in San Francisco (hybrid, 3 days/week in office).

About the Role

We are hiring a Strategic Sourcing Lead (Ads &amp; Consumer Verticals) to manage the commercial execution and vendor strategy across this expanding footprint.

This role will serve as the day-to-day commercial owner for a growing portfolio of vendors across brand safety, measurement and attribution, fraud prevention and invalid traffic detection technologies, health and finance applications,  enabling OpenAI to launch new capabilities, enter new markets, and scale monetization without accumulating excessive cost, risk, or operational fragility.

You will report to the Technology Strategic Sourcing Lead (Product Ecosystem &amp; Monetization) and work closely with Product, Engineering, Security, Legal, Growth, and Finance leaders to translate product roadmaps into scalable, defensible vendor strategies.

In this role, you will:

Own sourcing and commercial strategy across OpenAI’s ads technology stack and consumer verticals with a focus on health and finance.

Run high-velocity, high-complexity deals end-to-end: from vendor strategy and RFPs through negotiation, security review, contracting, and go-live.

Partner with Product and Engineering to ensure external vendors can support new product launches without blocking delivery or increasing risk.

Build and manage a multi-vendor ads technology ecosystem, health and personal finance focussed tools, to support revenue growth, engagement, and cost optimization.

Structure contracts and pricing models that preserve optionality, support rapid scaling, and minimize long-term lock-in and switching costs.

Coordinate Security, Legal, and Privacy reviews, especially for regulated data flows (health, personal financial) and high-risk vendors.

Own vendor lifecycle management: onboarding, ramp-ups, SLA enforcement, renewals, and re-competitions as OpenAI’s volumes and risk profile evolve.

Act as the control plane between fast-moving product teams and external dependencies, ensuring speed without sacrificing governance, compliance, or economics.

You might thrive in this role if you:

Have 6+ years of experience leading technology partnerships, sourcing, or commercial negotiations in a high-growth, product-driven environment.

Have demonstrated strong cross-functional leadership and are able to align Product, Engineering, Legal, Security, and Finance around complex, high-stakes decisions.

Are comfortable operating in regulated or high-risk domains (personal financial, health, payments, identity, data etc).

Have a track record of negotiating commercial, technical, and data-driven agreements with technology vendors.

Enjoy moving quickly in ambiguity while maintaining commercial discipline, compliance, and risk awareness.

Have strong analytical skills to evaluate pricing models, volume ramps, and vendor risk in the context of revenue and product growth.

Bring an ownership mindset—you independently drive deals, resolve blockers, and close outcomes that materially impact product launches and revenue.

Have a desire to accelerate OpenAI’s mission by enabling better vendor partnerships, faster launches, and more effective execution at scale.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles Coun]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Flows]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Flows]]></skills>
    <expirationdate>2026-08-02T00:42:12.710Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Customer Education Program Manager, New Products]]></title>
    <date>2026-06-02T23:55:50.644Z</date>
    <referencenumber>cmpxnresx003kge7e0gejrgis</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/customer-education-program-manager-new-products-ea0be272</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the RoleOpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. As our products evolve rapidly, helping customers understand, adopt, and realize value from new capabilities is essential to achieving that mission.

We're looking for a Customer Education Program Manager, New Products to help enterprise customers successfully adopt OpenAI's newest products and features. In this role, you'll sit at the intersection of Product, Customer Education, Marketing, Product Marketing, Developer Experience, and customer-facing teams—translating product innovation into practical, actionable education that drives real-world adoption.

OpenAI ships products quickly. The challenge isn't just launching new capabilities—it's helping customers understand what changed, why it matters, who it's for, and how to get started.

As a Customer Education Program Manager, you'll develop and operationalize repeatable education programs that help enterprise customers move from awareness to meaningful adoption. You'll transform product updates into customer-facing assets including use cases, demos, quickstarts, customer stories, webinars, adoption guides, and educational campaigns.

This role complements existing functions across Product Marketing, Marketing, Communications, Developer Experience, and Product teams. Your focus is customer understanding, practical enablement, and adoption outcomes. You'll help create the systems, content, and programs that make OpenAI's newest innovations accessible and valuable to enterprise customers.

In this role, you will:Build and scale repeatable education programs for new product launches and product updates.

Translate complex product information into practical use cases, demos, quickstarts, customer stories, and adoption guidance.

Partner closely with Product, Product Marketing, Marketing, Developer Experience, Technical Success, Solutions Architecture, and Customer Education teams to align educational efforts.

Create customer-facing education packages that support adoption before, during, and after major product releases.

Develop frameworks that help determine the right educational approach for different product moments and customer audiences.

Gather customer signals, usage data, and feedback from customer-facing teams to continuously improve educational programs.

Identify and highlight compelling customer use cases and success stories that accelerate adoption.

Design scalable workflows for producing high-quality educational content in a fast-moving product environment.

Measure the effectiveness of education initiatives and their impact on customer engagement and product adoption.

Help establish long-term operating models and cross-functional processes that support sustainable growth in customer education.

You Might Thrive in This Role If You:Enjoy translating technical innovation into clear, practical customer outcomes.

Have strong product intuition and can quickly identify the use cases that matter most to customers.

Are equally comfortable thinking strategically and executing at a high level of detail.

Can navigate ambiguity while building structure and repeatable processes.

Excel at cross-functional collaboration and influencing without direct authority.

Care deeply about clarity, accuracy, and customer trust.

Move quickly while maintaining a high bar for quality.

QualificationsRequiredExperience creating customer-facing product education, technical content, enablement programs, webinars, demos, guides, or adoption resources.

Exceptional writing, editing, communication, and content development skills.

Strong product synthesis skills with the ability to transform technical concepts into actionable customer guidance.

Proven program management experience driving cross-functional initiatives across multiple stakeholders.

Experience partnering effectively with Product, Marketing, customer-facing teams, or technical organizations.

Ability to balance speed, quality, and operational rigor in a fast-paced environment.

PreferredExperience in enterprise SaaS, AI products, developer tools, or technical education.

Experience producing webinars, explainers, livestreams, podcasts, customer stories, or other educational media.

Familiarity with enterprise customer adoption and enablement strategies.

Hands-on experience using AI tools to create, test, review, and improve educational content.

Experience working with rapidly evolving technology products.

Success in This RoleIn your first few months, you will:

Help operationalize a repeatable framework for new product education.

Pilot education programs for key product launches and updates.

Establish strong partnerships across Product, Marketing, Developer Experience, and customer-facing teams.

Build feedback loops that connect customer insights to future education priorities.

Over time, you will:

Ensure priority product releases consistently include high-quality educational programs and as]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Excel]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Excel]]></skills>
    <expirationdate>2026-08-01T23:55:50.644Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Strategic Investments & Consolidation Accounting Director]]></title>
    <date>2026-06-02T23:29:05.482Z</date>
    <referencenumber>cmpxnrers003ege7eoijm7x2r</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/strategic-investments-consolidation-accounting-director-a6b59f27</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. Our Controllership team is responsible for delivering accurate and timely financial information to stakeholders. We aim to build best-in-class processes, controls, and systems that scale with the business as it grows.

The Technical Accounting, Accounting Policy, and Financial Reporting organization partners across Finance and the broader company to evaluate complex transactions, support high-quality financial reporting, and translate significant business activity into scalable accounting and reporting outcomes. As OpenAI continues to grow in commercial scale, organizational complexity, and strategic initiatives, this team plays a critical role in ensuring accounting conclusions are evaluated early, documented appropriately, and operationalized within durable close, reporting, controls, and disclosure processes.

About the Role

As the Strategic Investments &amp; Consolidation Accounting Director, you will lead the accounting, governance, reporting, and operational processes related to strategic investments, consolidation matters, ownership structures, and other complex transactions across OpenAI. 

You will serve as the central point of accountability for ensuring accounting conclusions are effectively implemented, monitored, and operationalized within scalable close, reporting, control, and disclosure processes. You will partner closely with Technical Accounting, Financial Reporting, Controllership, Strategic Finance, Tax, Legal, Corporate Development, Treasury, Investor Relations, Internal Controls, external auditors, and external advisors to identify accounting implications early, advise on transaction structures, and ensure accounting conclusions are translated into practical and sustainable operating processes. You will also play a key role in building and scaling the frameworks, governance models, controls, and reporting infrastructure necessary to support OpenAI’s continued growth and increasing organizational complexity.

This role combines technical accounting expertise, operational ownership, cross-functional leadership, and process design. The successful candidate will bring deep experience in consolidation, investment accounting, complex transactions, and public company reporting, along with a proven ability to build scalable accounting functions and lead teams through periods of rapid growth and change.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Lead the accounting, reporting, governance, and ongoing monitoring processes related to strategic investments, consolidation matters, ownership structures, and other complex transactions.

Partner closely with Technical Accounting and cross-functional stakeholders to identify accounting implications arising from investments, ownership structures, financing arrangements, and other significant transactions, and ensure accounting conclusions are appropriately implemented within close, reporting, disclosure, and control processes

Partner with Financial Reporting, Controllership, Strategic Finance, Tax, Legal, Corporate Development, Treasury, Internal Controls, and other cross-functional teams to identify accounting implications early and support transactions throughout their lifecycle.

Translate accounting conclusions into practical operating guidance, including close procedures, accounting entries, reporting processes, disclosures, controls, monitoring activities, and systems requirements.

Develop and maintain scalable operating models, governance frameworks, monitoring processes, and reporting infrastructure that support the consistent implementation of accounting conclusions and the ongoing accounting for strategic investments, consolidation matters, ownership structures, and other complex transactions.

Partner with Financial Reporting to ensure accounting conclusions are appropriately reflected in financial statements, disclosures, management reporting, and external reporting requirements.

Support accounting and reporting activities related to strategic investments and other significant transactions, including monitoring, valuation-related considerations, impairment assessments, and disclosure requirements.

Partner with external auditors and advisors to support significant accounting judgments, reporting matters, and audit readiness.

Build and develop a high-performing team while establishing scalable ownership models, governance processes, and organizational capabilities to support OpenAI’s continued growth.

Drive process improvements, automation initiatives, and scalable operating models that enhance efficiency, consistency, control execution, and reporting quality as the business grows.

Serve as a trusted advisor across the organization, providing practical, risk-calibrated guidance th]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-01T23:29:05.482Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[GSI Partnership Lead]]></title>
    <date>2026-06-02T22:02:22.179Z</date>
    <referencenumber>cmpxnrhzo003oge7ed6robeb1</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/gsi-partnership-lead-b5b7d8ee</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[AMER]]></city>
    <country>ES</country>
    <description><![CDATA[About the roleWe're hiring our first Solutions Partners Lead to launch and lead Supabase's solutions partner program from the ground up.

Solutions partners: systems integrators, digital agencies, implementation consultancies, and specialist Postgres/AI shops, are how we extend Supabase's reach into mid-market and enterprise customers who need help designing, migrating, building, and operating on Supabase. This is a 0-to-1 role with a clear mandate: define the program, recruit the first cohort of partners, and build the operating system that lets us scale beyond it.

You'll own the strategy, the commercials, the partner experience, and the operational rails. You'll inherit one team member from day one, and over time you'll build the team out further underneath you.

What you'll doPhase 1 — Launch (first ~3 months)

Define what a Supabase solutions partner is: ideal partner profile, tiering structure, commercial model (referral, co-sell, resell where it makes sense), and the value exchange in both directions.

Build the program framework: requirements for entry, certification expectations, benefits at each tier, and how partners progress.

Land the legal and commercial frameworks alongside our in-house counsel — partner agreements, referral terms, co-sell rules of engagement.

Stand up the operational backbone in HubSpot: partner objects, attribution, pipeline structure, and reporting.

Phase 2 — Onboard (next ~6 months)

Personally recruit and close the first 10–20 strategic partners — the ones whose success will define what the program looks like.

Run partner onboarding end-to-end: enablement, certification, joint GTM planning, first-deal support.

Build the partner-sourced and partner-influenced pipeline motion with the sales team. Make co-sell work.

Develop the co-marketing playbook with our marketing team — joint content, events, case studies.

Phase 3 — Scale (beyond)

Hire and lead the team needed to scale the program — partner managers, partner ops, partner marketing as needed.

Productize the program: self-serve onboarding, partner portal, certification at scale.

Expand into new geographies and verticals based on where partners and customers pull us.

Own the number — partner-sourced revenue, partner-influenced revenue, and the leading indicators that get us there.

What we're looking forYou've built a solutions partner program before, or you've been a senior operator inside one at a developer-focused or infrastructure company. You know the difference between a logo on a slide and a partner that actually drives pipeline.

You're commercially sharp. You can structure a referral agreement, model partner economics, negotiate tier benefits, and know when to walk away from a deal that doesn't pencil out.

You're a builder, not a manager-of-managers. This role starts as a hands-on IC. You'll be writing partner agreements, getting on calls with prospective partners, and building HubSpot views yourself before you hire anyone.

You're operationally rigorous. You instrument what you build. You can run a program from a dashboard, not from gut feel.

You communicate clearly in writing. Async, remote, global — clarity on the page is how things move.

Bonus pointsExperience with AWS, GCP, or Azure partner ecosystems and how solutions partners interact with cloud co-sell motions.

A network of existing relationships with SIs, agencies, or consultancies that build on Postgres, Firebase, or modern application stacks.

Background in Postgres, databases, AI/ML platforms, or the application development space.

You've worked in a high-growth, product-led company making the transition into partner-led and enterprise GTM.

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ cou]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, AWS, GCP, Azure, Cloud]]></skills>
    <expirationdate>2026-08-01T22:02:22.179Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Staff Software Engineer, Identity Infrastructure Engineering]]></title>
    <date>2026-06-02T21:01:11.222Z</date>
    <referencenumber>cmpgih2y703i8v2xqzqdqvgg7</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/staff-software-engineer-identity-infrastructure-engineering-a3596883</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Identity Infrastructure Engineering team sits at the core of this effort, designing and building the identity and access management solutions that protect our model weights, customer data, and critical systems across multiple cloud environments. We partner with teams across OpenAI—Applied Engineering, Research, IT, and Security—to provide a secure and scalable platform for permissioning, orchestration, and innovative AI research.

About the Role

We’re looking for a Staff+ Software Engineer to help build and evolve the identity infrastructure that supports OpenAI’s research, engineering, and internal platforms.

This role sits at the intersection of cloud infrastructure, identity systems, and software engineering. You’ll work across production systems, infrastructure-as-code, cloud control planes, identity providers, and operational infrastructure to build secure, scalable, and reliable systems used broadly across the company.

The ideal candidate has experience building and operating large-scale, mission-critical systems with strong reliability and security requirements, and is comfortable writing production code, designing distributed systems, and driving ambiguous projects from 0 to 1 while building the operational rigor needed to run critical infrastructure over time.

In this role, you will:

Lead the architecture, development, and operation of identity infrastructure that spans cloud platforms, internal systems, and critical engineering services.

Design and evolve systems for authentication, authorization, access governance, auditability, and policy enforcement with a strong focus on reliability, scalability, and secure-by-default design.

Build foundational infrastructure and platform capabilities that are broadly used across engineering, research, and security teams.

Improve the reliability, observability, performance, and operational maturity of identity infrastructure that supports mission-critical systems and workflows.

Lead ambiguous, high-impact technical initiatives across security, infrastructure, and engineering teams, driving alignment and execution across multiple stakeholders.

Partner closely with engineers, researchers, and security teams to build scalable access patterns and infrastructure that enable rapid development while maintaining strong security boundaries and operational rigor.

Raise the engineering bar through strong technical judgment, thoughtful system design, operational excellence, and long-term ownership of critical infrastructure.

You might thrive in this role if you have: 

10+ years building and operating large-scale infrastructure, platform, or backend systems.

Deep experience with cloud infrastructure, identity systems, distributed systems, and infrastructure-as-code.

Experience leading complex technical initiatives across teams and driving architecture in ambiguous environments.

Experience building security-critical systems involving authentication, authorization, access governance, privileged access, or policy enforcement.

Strong software engineering fundamentals with experience in Go, Rust, Python, or similar languages.

Ability to debug across code, cloud infrastructure, identity systems, networking, and operations.

High bar for reliability, security, auditability, and operational rigor in mission-critical systems.

This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal h]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud, Distributed Systems, Rust, Python]]></skills>
    <expirationdate>2026-08-01T21:01:11.222Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Communications Manager, France & Southern Europe]]></title>
    <date>2026-06-02T20:52:40.384Z</date>
    <referencenumber>cmpry00nk00c6d4ee4dlmjdd1</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/communications-manager-southern-europe-e5869a2e</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Paris]]></city>
    <country>FR</country>
    <description><![CDATA[About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity.

The Communications team supports this mission by clearly and authentically explaining our technology, products, values, and approach to safely building and deploying powerful AI. We work across corporate, product, policy, research, go-to-market, and consumer communications to help people understand OpenAI’s work and its impact.

As OpenAI’s presence grows in France and across Southern Europe, we are looking for a Communications Manager to help shape and execute high-impact communications programs for the French market.

About the Role

In this role you will help drive communications across several of OpenAI’s most important European markets. You will work across product, B2B, developer, and mainstream communications, helping bring OpenAI’s products and priorities to life for French and Southern Europe audiences.

This role is designed for someone who can combine strategic judgment with hands-on execution. You will help localize global announcements, develop proactive country-specific stories, manage agency workstreams, build media relationships, and support communications around product launches, customer stories, developer initiatives, and broader public understanding of AI.

The role will have a strong business and product communications center of gravity. In practice, many of OpenAI’s product moments need to reach multiple audiences at once: business leaders, developers, policymakers and everyday users. You will help connect those narratives so that our communications in the region are clear, locally relevant, and consistent across audiences.

This role is based in Paris, France. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Support B2B and GTM communications, including enterprise adoption, customer stories, partner announcements, business media, and industry narratives.

Drive product communications workstreams across audiences, including enterprise, developer, business, and mainstream user-facing moments.

Localize global announcements and campaigns for the French market, ensuring messaging is culturally relevant and grounded in local media context.

Proactively identify and tell stories that show how OpenAI’s technologies are being used by businesses, developers, institutions, educators, creators, and people in France and across Southern Europe.

Help shape mainstream and consumer-facing product stories that explain OpenAI’s tools, benefits, and approach in accessible ways.

Manage day-to-day agency work across product-led consumer and business communications, ensuring execution is connected to broader business, developer, and corporate priorities.

Build and maintain relationships with French media, including technology, business, national, trade, consumer, and digital outlets.

Draft and edit communications materials, including messaging, pitches, briefing documents, and media plans.

Prepare and brief spokespeople for media interviews, events, and other external opportunities.

Partner cross-functionally with teams including GTM, Product, Marketing, Global Affairs, Legal, Research, and other Communications teams.

Track media coverage, market conversation, and emerging issues locally to identify opportunities and risks.

Help bring structure, momentum, and strong execution to a fast-moving communications environment.

You might thrive in this role if you:

Have strong experience in communications, media relations, PR, or related roles, ideally in the tech industry.

Have a strong understanding of the French media landscape, including business, technology, national, and mainstream media.

Can translate complex technology into clear, compelling narratives for different audiences.

Are comfortable working across both B2B and consumer-facing communications, and understand how product stories can travel across audiences.

Have experience managing agency partners and driving workstreams forward with clear priorities and strong follow-through.

Have sound judgment on sensitive or high-profile issues, and know when to escalate.

Are comfortable operating in a fast-paced environment with shifting priorities.

Have strong attention to detail and can produce high-quality written materials under time pressure.

Are curious about AI and motivated by helping people understand its benefits, limitations, and impact.

Are fluent in French and English, with excellent writing and editing skills in both languages. Spanish or Italian language skills are not required, but would be helpful.

Applications will be reviewed from Monday 8th June

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. A]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-01T20:52:40.384Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Solutions Architect - Australia]]></title>
    <date>2026-06-02T20:39:00.192Z</date>
    <referencenumber>cmpxnrjiz003sge7e97miuvas</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/solutions-architect-8884015f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Australia]]></city>
    <country>ES</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the roleWe’re hiring Solution Architects to help the world’s best engineering organizations figure out what AI-native software development actually looks like in production.

This is a deeply technical, post-sale role embedded inside Cursor’s most strategic enterprise accounts. You’ll work directly with engineering teams to roll out high-impact workflows, accelerate adoption, and help organizations fundamentally rethink how software gets built with AI.

Solution Architects sit at the center of long-term customer transformation. You’ll help customers move from initial excitement to deeply integrating engineering workflows that teams rely on every day. That means understanding how modern software organizations operate, identifying where Cursor can create the most leverage, and helping customers scale adoption across teams, platforms, and workflows over time.

This role is highly hands-on. You’ll configure environments, design workflows, run enablement sessions, and solve technical problems directly with developers and platform teams inside complex enterprise environments. You’ll also help engineering leaders think through rollout strategy, workflow evolution, and the long-term architecture for AI-native development.

The best Solution Architects combine deep technical credibility with strong product instincts, high ownership, and the ability to influence how large engineering organizations evolve. Solution Architects are also equally comfortable debugging CI workflows, leading architecture reviews, and helping executives understand where AI changes the economics of software development.

What you’ll doHelp Engineering Teams Adopt AI-Native DevelopmentRoll out Cursor across strategic engineering organizations

Configure environments, design workflows, and run hands-on enablement sessions

Help developers integrate Cursor into real production workflows, not isolated demos

Drive fast time-to-value and durable adoption across teams

Identify workflow friction and solve problems quickly

Expand Cursor Across the OrganizationIdentify where Cursor should expand next inside the customer environment

Help engineering organizations evolve from isolated usage to company-wide adoption

Design rollout strategies for new workflows, teams, and platform groups

Partner with customers to operationalize AI-assisted development at scale

Work closely with Account Executives during major expansion moments

Become a Trusted Technical PartnerBuild deep relationships with developers, platform teams, engineering leadership, and executive stakeholders

Lead architecture reviews, technical working sessions, and strategic planning discussions

Advise customers on developer productivity, workflow design, governance, and AI adoption strategy

Coordinate across Sales, Product, Engineering, and Customer Success to unblock customer progress

Help organizations navigate workflow and operational change as AI-native development evolves

Drive Real Customer OutcomesHelp customers translate adoption into measurable engineering impact

Connect Cursor usage to outcomes like faster iteration cycles, improved developer productivity, workflow efficiency, and engineering quality

Help customers communicate the value of Cursor internally and build momentum for broader adoption

Turn successful deployments into repeatable workflow patterns across the organization

Help Make Cursor IndispensableDeepen workflow adoption and long-term product stickiness

Monitor competitive risk and help customers standardize on Cursor over time

Support recovery plans when adoption slows or competing tools gain traction

Help customers build workflows they can’t imagine operating without

Shape the Future of the ProductBring structured feedback from strategic customers into Product and Engineering

Identify emerging workflow patterns, friction points, and enterprise requirements

Help shape new capabilities through lighthouse customers and design partnerships

Turn successful customer workflows into reusable playbooks and reference patterns

You may be a fit ifYou have a strong technical background in software engineering, infrastructure, DevOps, platform engineering, or developer tooling

You have experience in customer-facing technical roles such as Solution Architect, Solutions Engineer, Forward Deployed Engineer, Technical Account Manager, Enterprise Architect, or similar

You have the ability to work hands-on with engineering teams while also operating strategically with technical leadership

You have a strong understanding of developer workflows, SDLC tooling, integratio]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cursor, DevOps, SDLC, CI/CD]]></skills>
    <expirationdate>2026-08-01T20:39:00.192Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Solutions Engineer, Digital Natives]]></title>
    <date>2026-06-02T19:29:11.240Z</date>
    <referencenumber>cmpxnrca90036ge7ebbwb7do6</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/solutions-engineer-digital-natives-b830949e</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Dublin]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer, you’ll help companies across industries transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.

About the Role

We are seeking an experienced pre-sales solutions engineer to partner with our Digital Native customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Sales, Customer Success, Security, and Product teams.

This role is based in our Dublin office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.

Demonstrate how leveraging ChatGPT and the OpenAI API can meet customers’ business needs and deliver substantial business value, including, but not limited to, building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.

Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.

Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

You’ll thrive in this role if you:

Have 5+ years of experience in a technical pre-sales role, managing C-level technical and business relationships with complex global organizations.

Have full professional fluency in English.

Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.

Have industry experience in programming languages like Python or Javascript and working with REST APIs.

Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.

Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[ChatGPT, Python, JavaScript, APIs, Generative AI, Cloud]]></skills>
    <expirationdate>2026-08-01T19:29:11.240Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Revenue Operations BP - Technical Success]]></title>
    <date>2026-06-02T18:06:32.984Z</date>
    <referencenumber>cmpxnres3003gge7e87pm3u3b</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/revenue-operations-bp-technical-success-0ed9218c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the team

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

The Go To Market (GTM) team at OpenAI is dedicated to helping customers realize the transformative potential of AI technology. We are seeking a Revenue Operations Manager to support and optimize the operations within our Technical Success team, working closely with cross-functional teams to drive operational excellence and maximize customer impact.

As a Revenue Operations Manager, you will focus on designing processes that enhance the customer experience, optimizing internal workflows, and delivering data-driven insights that support strategic decision-making across teams.

In this role, you'll:

Design and implement processes to support the OpenAI Technical Success team, ensuring seamless management of customer interactions throughout the lifecycle, from onboarding to ongoing technical support and services delivery.

Work closely with technical teams to ensure that operational processes are scalable and efficiently integrated into customer success workflows.

Define and track key performance indicators (KPIs) specific to technical success, developing and maintaining dashboards to provide actionable insights to stakeholders and leadership.

Manage capacity and coverage strategy for the Technical Success team, working with leadership to ensure alignment with business objectives and offering data-driven recommendations for improvements.

Partner with the data team to ensure the integrity and accuracy of data, enabling effective reporting and decision-making for revenue-generating activities.

Lead strategic analyses to identify trends, gaps, and opportunities for process optimization; lead cross-functional projects to drive those optimizations.

You might thrive in this role if you have:

Experience in revenue operations or strategy at a high-growth, technology company

Strong analytical skills with a focus on attention to detail

Exceptional project management skills, with experience leading complex, cross-functional initiatives

Strong communication skills and executive presence

An understanding of the AI landscape, our applications, and the problems they solve for our customers.

The ability to thrive in ambiguity and work autonomously

Exceptional organizational skills

The ability to operate with high horsepower, be adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritization

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data secu]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Project Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Project Management]]></skills>
    <expirationdate>2026-08-01T18:06:32.984Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Analytics & Automation Lead, User Safety & Risk Operations]]></title>
    <date>2026-06-02T18:01:20.923Z</date>
    <referencenumber>cmpxnrese003ige7eathk5fj8</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/analytics-automation-lead-user-safety-risk-operations-781143a3</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamAt OpenAI, our User Safety &amp; Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems.

The Analytics &amp; Automation team helps USRO operate more effectively and scale safely. The team builds automation, analytics, reporting, monitoring, and quality systems that improve how work is prioritized, reviewed, measured, and managed across the organization’s portfolio.

Our work includes workflow automation, operational health dashboards, queue and case analysis, quality measurement, classifier and evaluation feedback loops, alerting, reporting infrastructure, and decision-support tools. We partner closely with operational teams as well as Product, Engineering, Product Policy, Safety, and Support to identify high-leverage opportunities and build practical systems that improve outcomes.

About the RoleWe are seeking an Analytics &amp; Automation Lead to manage and grow a senior technical operations team responsible for building the analytics, automation, and quality systems that help User Safety and Risk Operations scale.

This is a hands-on leadership role for a mission-oriented systems thinker: someone who can translate messy operational problems into practical, measurable solutions; guide senior technical and analytical ICs (Independent Contributors); prioritize across competing needs;, and build durable infrastructure and reusable capabilities that improve the performance of multiple operational teams.

You will lead work across workflow automation, operational health analytics, quality and evaluation systems, emerging-risk signal infrastructure, dashboards and reporting, and data flywheel feedback loops.You will help determine where automation can meaningfully improve speed, consistency, and scalability, and where human judgment and strong quality controls must remain central.

The right person is highly technical for an operations role, deeply comfortable with ambiguity, and fluent in using AI tools to improve real workflows. Success in this role means building systems that make safety operations faster, more reliable, more measurable, and more scalable without losing the human judgment required for sensitive user-safety decisions.

Location / work model: San Francisco, CA; hybrid, 3 days/week in-office.

Please note: This role may involve exposure to sensitive or concerning content. Strong discretion, judgment, and resilience are essential.

In This Role, You WillLead and develop a senior team of technical and analytical ICs responsible for automation, analytics, reporting, and other systems.

Set the strategy and operating cadence for a horizontal team supporting safety and risk operations across multiple workflows and domains.

Prioritize a portfolio of high-impact opportunities, making clear tradeoffs based on user impact, risk reduction, operational need, technical feasibility, and scalability.

Build systems that improve operational health and visibility, including data infrastructure, dashboards, SLA and backlog monitoring, and quality measurement.

Design and implement workflow improvements such as automated triage, routing, prioritization, signal enrichment, case clustering, review assistance, and reporting automation.

Build and improve the systems and strategies for emerging risk identification, analysis, and signal sharing

Identify where AI, LLMs, classifiers, or lightweight tooling can materially improve operational work, while designing appropriate evaluation, monitoring, human review, and fallback paths.

Establish measurement and quality frameworks for operational systems, including golden sets, sampling strategies, reviewer calibration, false-positive and false-negative monitoring, and system-health metrics.

Partner with operational leaders to understand their workflows, identify root causes and bottlenecks, and turn high-value needs into scalable systems rather than one-off analyses.

Collaborate with Product, Engineering, Policy, Legal, Safety, Support, and other partner teams to translate user and operational insights into better tools, processes, and outcomes.

Raise the bar for technical judgment, written communication, prioritization, and execution across a senior, independent team.

You Might Thrive in This Role If YouHave 12+ years of relevant experience across trust and safety, risk operations, data, analytics, automation, product operations, integrity, fraud, or similarly high-stakes operational environments.

Have 4+ years of people management experience, including experience leading senior technical, analytical, or highly independent ICs.

Are highly technical for an operations leader: comfortable with SQL, dashboards, data quality, classifier/eval concepts, automation design, and practical AI tooling.

]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[HTTP]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[HTTP, LLMs, SQL, Codex]]></skills>
    <expirationdate>2026-08-01T18:01:20.923Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Policy, Biosecurity Policy Manager]]></title>
    <date>2026-06-02T16:53:10.367Z</date>
    <referencenumber>cmpxnrepy003cge7e2ph4xnhw</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-policy-biosecurity-policy-manager-b4c5ec21</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Product Policy team develops, implements, enforces, and communicates the policies that govern use of OpenAI’s services, including ChatGPT, Codex, GPTs, and the OpenAI API. This biosecurity-focused role will help define how OpenAI enables legitimate life sciences, biomedical, and public health work while reducing the risk that our products are misused to create biological harm.

This role sits at the intersection of AI capability, life sciences practice, biosecurity, biosafety, and abuse prevention: helping researchers, institutions, and other legitimate users benefit from OpenAI’s tools while setting clear boundaries against activity that could enable catastrophic biological misuse or other harmful bio-related outcomes.

About the Role

As a Product Policy Manager specializing in Biosecurity, you will combine deep biological, biosecurity, and policy judgment to guide how OpenAI evaluates, launches, and governs capabilities relevant to biology and the life sciences. You will work closely with product, engineering, research, safety, security, legal, operations, global affairs, and go-to-market teams to translate complex biological risk into practical product policy, implementation standards, access criteria, enforcement guidance, and launch decisions.

The role requires understanding both sides of the bio equation: how legitimate researchers, clinicians, public health practitioners, and life sciences organizations use AI to advance beneficial work, and how malicious or irresponsible actors may attempt to misuse AI systems to lower barriers to harmful biological activity. Strong candidates may bring depth in one or more relevant domains, such as biosecurity, biosafety, synthetic biology, molecular biology, computational biology, bioinformatics, public health, biodefense, biological risk management, sequence screening, lab automation, institutional research governance, or life sciences R&amp;D — along with the ability to reason across adjacent areas.

You do not need to have held a formal policy title, but you should have experience turning complex technical or scientific risk into durable rules, standards, processes, or decisions, and very strong communication skills.

As OpenAI continues to grow its capabilities in biology and the life sciences, this role will help align diverse teams and stakeholders while operating in a fast-moving, ambiguous environment.

In this role, you will:

Provide biosecurity and life sciences policy advice to technical and product teams based on an understanding of model capabilities, biological R&amp;D workflows, abuse pathways, and the practical needs of legitimate scientific users.

Evaluate bio-relevant product launches and model capabilities, including how they may support beneficial biological research, public health, clinical education, drug discovery, biosecurity, and other life sciences use cases, as well as how they could be misused by malicious or irresponsible actors.

Translate biological misuse risk into clear product requirements, launch guidance, enforcement standards, user-facing policy, internal implementation guidance, and reviewer SOPs.

Help define scalable policy frameworks for dual-use biological capabilities, including where to draw boundaries between broadly beneficial biological assistance, higher-risk dual-use support, and activity that should be restricted or disallowed.

Develop operationalizable standards, enforcement protocols, and escalation paths for bio misuse scenarios, including suspicious high-risk dual-use trajectories, account- or organization-level misuse patterns, and ambiguous cases requiring expert judgment.

Partner with Preparedness, Safety Systems, Integrity, User Operations, I2, research, legal, communications, global affairs, and product teams to make principled, timely decisions about biological risk in high-ambiguity situations.

Help design and refine trusted access frameworks for higher-capability biological systems, including actor vetting, institutional legitimacy, governance expectations, deployment suitability, access scoping, re-verification, and escalation obligations.

Support the development of threat models, misuse trajectories, taxonomy updates, account-level review workflows, and measurement approaches that distinguish legitimate scientific activity from concerning misuse over time.

Use production signals, evals, red-team findings, user feedback, and operational data to improve policy quality, measure safeguard effectiveness, and identify emerging risks.

Help OpenAI engage credibly with life sciences organizations, biosecurity experts, public health institutions, and other external stakeholders on best practices for safe AI adoption in biology.

Develop a partnership-informed biosecurity approach by working with external experts, public health institutions, life sciences organizations, and other trusted partners to identify emerging risks, strengthen safe adoption practices, and support broader soc]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, Codex]]></skills>
    <expirationdate>2026-08-01T16:53:10.367Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Audiovisual Design Engineer]]></title>
    <date>2026-06-02T16:34:16.975Z</date>
    <referencenumber>cmpxnre160038ge7eij7zfb93</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/audiovisual-design-engineer-a4fad17b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s IT organization supports the mission of deploying artificial general intelligence (AGI) for the benefit of all. Our team is committed to providing seamless technological support and solutions to ensure that all OpenAI employees are well-equipped and connected. This enables them to contribute effectively towards our AI research, corporate operations and product initiatives.

About the Role

As an Audiovisual (AV) Engineer at OpenAI you will play a pivotal role in designing, implementing and ensuring the availability, reliability, and exceptional ease-of use of our conference room audio visual and video conferencing infrastructure. The ideal candidate will have expert-level experience in audiovisual design, programming and implementation of enterprise AV systems and moderate but demonstrable networking and general IT capabilities.

This is a hybrid role and will require 3 days a week in our San Francisco office.

In this role, you will:

Develop, own, and continuously improve global conference room AV and video conferencing standards, with a focus on reliability, consistency, scalability, and five 9s availability.

Design and manage enterprise conference room standards, including room archetypes, approved hardware stacks, user experience requirements, control patterns, network requirements, and supportability expectations.

Produce and maintain standard AV drawing packages, design templates, build documentation, and release/revision cycles for global deployment.

Establish scalable systems and processes for managing the full AV technology lifecycle, including evaluation, standardization, deployment, support, refresh, and retirement.

Define design requirements and technical patterns for AV monitoring, alerting, automation, and operational handoff so global room standards can be supported, measured, and improved at scale.

Oversee AV control code, programming patterns, and network requirements to move from project-specific implementations to a first-party global standard deployed consistently across offices.

Lead AV/VC design standards and technical review for new global office buildouts, ensuring each project aligns with OpenAI’s global AV architecture and user experience goals.

Define programming, commissioning, QA, and operational handoff requirements for conference rooms and AV spaces.

Develop and manage integrations between AV systems and core IT services, including monitoring, alerting, asset management, ticketing, calendar systems, and support workflows.

Partner closely with ITAV Events, ITAV Upkeep, Network Engineering, Real Estate, Design and Construction, and Security to ensure AV standards meet business, operational, and technical needs.

Own lifecycle management for conference room AV/VC technology, including vendor roadmaps, firmware strategy, end-of-life planning, approved substitutions, and global refresh planning.

Maintain deep knowledge of AV/VC industry trends, emerging technologies, enterprise platform changes, and best practices for deploying AV at global scale.

You might thrive in this role if you have:

8+ years experience in design, installation, and troubleshooting of enterprise AV including direct experience implementing and using Google meet, Logitech and QSYS hardware at a global scale.

Experience with enterprise networking technologies and architectures (Multicast routing, switch configuration, QoS, IGMP).

Advanced QSYS programming experience.

Cloud hosting experience, especially for highly available AV services like monitoring and alerting, and distributed AV transport.

Proven experience managing global AV office deployments of over 300 av spaces.

Demonstrable CAD (Revit, AutoCAD, Vectorworks, Visio) drawing package production experience.

Event space design and commissioning experience with production equipment like Vizrt, AnalogWay, Yamaha, Panasonic, QSYS, NDI, Dante Ross, ST2110, Madi, etc..

AV Scripting experience (Lua, Appscript, Python). Bonus points for MCP integration experience.

Expert with video conferencing platforms (Zoom, Meet, Teams).

Experience developing RFPs (Request for Proposal) for AV integration vendors and managing the bid/build process.

Experience with wayfinding and conference room booking hardware and software.

Deep understanding of AV over IP (QLAN, ST 2110, Dante, NDI) and how to deploy it safely in a corporate network environment.

Experience with IT ticketing systems and maintaining support SLAs.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanit]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud, Python]]></skills>
    <expirationdate>2026-08-01T16:34:16.975Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Government Account Director, National Security]]></title>
    <date>2026-06-02T11:26:21.602Z</date>
    <referencenumber>cmpxnrb3n0032ge7e25brvu1w</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/government-account-director-national-security-c80b58d8</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Washington]]></city>
    <country>ES</country>
    <description><![CDATA[About the team
OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their organization. The team comprises Sales, Solutions, Support, Marketing, and Partnership professionals who collaborate to create valuable solutions that will help bring AI to as many users as possible.

About the role

Our Government Sales team has a unique mission to help national security customers understand the transformative impact that highly capable AI models can bring to their critical missions. This role combines technical understanding, strategic vision, partnership management, and value-driven strategy specifically tailored to Defense and Intelligence Community customers.

You’ll drive key opportunities through the entire defense sales cycle, from pipeline generation to closure. You’ll collaborate closely with researchers, engineers, and solution strategists to help customers within the Defense and Intelligence Communities advance their national security missions through AI.

This role is based in Washington DC. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you'll:

Manage a focused set of key U.S. Defense and Intelligence Community accounts, developing and executing comprehensive account plans

Lead Defense and Intelligence customers through their AI adoption journey, from consideration to successful deployment

Partner with solutions and research engineering to build and execute complex defense customer programs and projects

Own and manage a National Security Community consumption revenue target

Oversee revenue forecasting and reporting

Analyze key Defense and Intelligence account metrics and provide insights to internal and external stakeholders

Closely monitor the national security landscape (agencies, policies, competitors, partners, etc.) to inform product roadmaps and corporate strategies

Collaborate cross-functionally with solutions, product engineering, government affairs, marketing, communications, business operations, people operations, finance, product management, and engineering

Support the recruitment and onboarding of team members focused on defense and intelligence accounts

Foster the development of our company culture within the National Security Community practice

We're seeking someone with experience including:

10+ years selling commercial technology (platform-as-a-service, software-as-a-service, etc.) specifically to the National Security Community

Top Secret clearance 

Designing and executing complex deal strategies within Defense or National Security  contexts, including familiarity with government contracting, security clearances, and procurement processes

Supporting growth in fast-paced, high-performance National Security environments

Working directly with senior National Security executives and decision-makers.  We are prioritizing candidates with deep relationships and native familiarity with defense and intelligence workflows.

Communicating technical and strategic concepts clearly to National Security  customers and internal stakeholders

Leading high-visibility National Security customer events, briefings, and industry engagements

Gathering, distilling, and processing detailed Defense and Intelligence Community market intelligence (agency priorities, policy changes, competitor activities, etc.)

You might thrive in this role if you:

Are customer-centric. You are motivated to deeply understand defense customers’ priorities and help them achieve their mission-critical objectives using AI. You build trusted relationships with senior executives and stakeholders across defense and national security agencies.

Have a passion or deep curiosity about artificial intelligence. You embrace the opportunity to help deploy OpenAI’s technology in ways that advance national security missions and benefit humanity. You’re enthusiastic about educating defense customers on AI capabilities and strategic implications.

Are a builder. You enjoy impacting how our company grows its defense and intelligence business. You excel in establishing robust systems and processes tailored to defense customer requirements, executing them with precision and agility.

Are excited by new challenges. You thrive when solving complex, mission-critical defense and national security problems. Bespoke challenges requiring multidimensional knowledge excite you, and you’re eager to experiment with innovative solutions within national security environments.

Are a strategist. You deeply understand defense go-to-market best practices and proactively contribute to strategic initiatives. You plan years ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Product Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Product Management, Excel]]></skills>
    <expirationdate>2026-08-01T11:26:21.602Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Partner Director - AWS Alliance Partnership, APAC]]></title>
    <date>2026-06-02T09:40:17.555Z</date>
    <referencenumber>cmpxnra3p0030ge7efypp1fdd</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/partner-director-aws-alliance-partnership-apac-fee31617</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI’s GTM Partnerships team builds a strategic global partner ecosystem designed to accelerate customer success, support secure AI adoption, and drive growth in support of OpenAI’s mission. We collaborate closely across Sales, Technical Success, Product, Marketing, Operations, and leadership teams to turn strategic partnerships into durable commercial outcomes.

Within that ecosystem, AWS is one of OpenAI’s most strategic partners. Our opportunity extends beyond the direct alliance relationship: we aim to enable AWS teams and the surrounding services-partner ecosystem to build, deliver, and scale OpenAI-powered solutions on AWS infrastructure.

Success requires close collaboration across AWS regional and country teams, AWS-focused SI practices, cloud architects, field sellers, delivery leaders, local OpenAI Partner Directors, and OpenAI GTM teams. It requires strong operating discipline, scalable co-sell execution, and the ability to translate a strategic alliance into measurable customer outcomes.

About the Role

We are hiring a Partner Director to shape and execute OpenAI’s AWS alliance partnership across APAC. This person will own the direct regional relationship with AWS while mobilising AWS country teams and the broader services-partner ecosystem around high-value customer opportunities.

This is a hands-on individual-contributor role operating through influence across APAC. You will work alongside local OpenAI Partner Directors to develop country-level strategies, drive joint account planning, coordinate AWS-related opportunities, and operationally manage selected cross-market initiatives.

You will build and own the regional GTM strategy with AWS, translating the alliance into repeatable OpenAI and AWS solutions, field playbooks, governance structures, and co-sell motions that can be adopted across APAC markets. The right candidate combines alliance leadership with a builder’s mindset and the ability to move comfortably between executive engagement and detailed execution

In this role, you will:

Jointly shape and execute the APAC AWS alliance strategy and annual operating plan with the APAC Partnerships Lead and local Partner Directors.

Own the regional AWS alliance relationship and coordinate with AWS country teams alongside local Partner Directors.

Build trusted relationships with AWS alliance leaders, sales teams, technical teams, cloud architects, industry leaders, and delivery stakeholders.

Develop joint account plans and drive co-sell execution across AWS, local Partner Directors, OpenAI Sales teams, and services partners.

Identify, shape, and accelerate qualified AWS-related opportunities and customer engagements.

Mobilise AWS-focused practices within systems integrators, consulting firms, and specialist services partners.

Help partners develop repeatable OpenAI offerings, reference architectures, delivery methodologies, and GTM motions aligned with AWS infrastructure and services.

Drive operating discipline across AWS ACE, Marketplace, partner programs, funding mechanisms, pipeline tracking, partner attribution, and deal-progression workflows.

Build and run the AWS governance model across APAC, including pipeline reviews, operating cadences, executive business reviews, milestone tracking, and escalation management.

Develop scalable sales plays, enablement materials, field communications, and engagement strategies that local teams and partners can reuse.

Lead or support contracting where appropriate, coordinating with local Partner Directors and legal, finance, and leadership teams.

Aggregate feedback from AWS stakeholders, services partners, customers, and country teams and translate it into recommendations for Product, Operations, Marketing, and GTM leadership.

Coordinate with Marketing on AWS-related launches, campaigns, enablement activities, and events.

Represent OpenAI with executive presence in AWS, partner, customer, and market-facing conversations.

Travel regularly across APAC, with occasional travel to the United States.

Preferred Qualifications:

8+ years of experience in partnerships, cloud alliances, ecosystem sales, business development, consulting partnerships, or related GTM roles within SaaS, cloud, AI, or platform businesses.

Significant experience building and scaling hyperscaler-alliance motions across multiple markets.

Strong familiarity with the AWS ecosystem, including regional and country teams, ACE, Marketplace, partner programs, funding models, and co-sell workflows.

Experience working with global and regional systems integrators and consulting firms with substantial AWS cloud practices.

A proven record of driving measurable partner-sourced opportunities, customer wins, and repeatable solutions through strategic partnerships.

Experience supporting complex enterprise opportunities involving cloud modernisation, AI transformation, data platforms, or large-scale technical implementations.

Experience leading joint account planning]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[AWS]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[AWS, Cloud]]></skills>
    <expirationdate>2026-08-01T09:40:17.555Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Manager - AI]]></title>
    <date>2026-06-02T07:38:50.193Z</date>
    <referencenumber>cmpxnri0r003qge7eojnmbt46</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-manager-ai-2e98800c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About the role:Supabase is the backend more than 7 million registered developers reach for when they want to ship fast: database, auth, storage, and APIs in one platform. AI coding assistants now account for a meaningful share of the development happening on Supabase: agents writing migrations, provisioning infrastructure, and querying databases through the MCP server and agent skills. When agents have the wrong context or defaults, the result is a broken schema or a misconfigured policy. Getting the abstractions right is the whole job. You own the MCP server, agent skills, and the evals that tell you whether any of it is working.

What You'll Be Responsible For:Rethink the PM job when most users are agents. Defaults, error messages, breaking changes, naming, deprecations, docs: every product decision behaves differently when an AI coding tool sees it before a human does. Apply that lens to your own roadmap and to product decisions across Supabase.

Talk to customers across the full spectrum. Indie developers shipping side projects, startups choosing an AI stack, enterprise teams running agents in production. Find the blockers and bring them back to the roadmap.

Own the problem statement and requirements behind every agent tooling bet. Define what we're building and why before engineering picks up a spec. Capture the evidence behind each decision, name the constraints, and give the team a target it can hit.

Decide what gets built, what gets deferred, and what gets cut. Every quarter you're choosing between agent plugin requests, MCP improvements, discoverability work, and reliability — and defending those calls when stakeholders push back.

Define how each launch is measured before it ships. Set the metric before engineering starts: developer activation, task completion, and AI eval scores. Track whether it moved after launch and use that to sharpen the next call.

Keep engineering, design, and leadership aligned. Agent tooling spans the MCP server, CLI, SDK, and dashboard. Communicate the roadmap, surface dependencies early, and keep stakeholders pointed in the same direction.

You Might Be A Good Fit If You:Have 7+ years of product management experience on developer tools, or an ex-founder with strong product instincts. You're technical enough to dive in: read an architecture doc, follow a design discussion, ask the right questions.

Have a clear point of view on what makes infrastructure agent-friendly. You use AI coding tools and agent harnesses daily, track what Anthropic, OpenAI, and the AI community ship week to week, and have opinions about the primitives developers need to build agent-native products. You've shipped something that put those opinions to the test.

Are biased toward speed. You'd rather ship something imperfect and learn than spend another sprint refining a spec. You know when to stop planning and start building.

Build with what you own. You use the products on your roadmap: connecting to Supabase through the MCP server, building with the CLI, testing how agents respond to different tool configurations. You develop opinions through first-hand use.

Use AI to move faster. You use AI tools for research, drafting, and synthesising feedback. More time goes to judgment calls.

Work async by default. Supabase is fully remote. You make decisions in writing and move threads forward without meetings.

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Hir]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[APIs]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[APIs, Product Management]]></skills>
    <expirationdate>2026-08-01T07:38:50.193Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Content Lead, APAC]]></title>
    <date>2026-06-02T07:34:16.965Z</date>
    <referencenumber>cmpxnrelt003age7epp4dqmbq</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/content-lead-apac-2334e690</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About OpenAI

OpenAI is an AI research and deployment company committed to ensuring that artificial general intelligence benefits all of humanity. We push the boundaries of AI capabilities while prioritizing safety, responsible deployment, and human needs. Our mission requires a team that represents a diversity of perspectives, voices, and experiences.

About the Role

We are seeking an experienced APAC Content Lead to shape how OpenAI shows up through content across the Asia-Pacific region. This is a senior regional role for a content strategist and editorial leader who can translate global priorities into locally resonant narratives, build a high-quality content operating model, and help audiences across APAC understand OpenAI's products, stories, and impact with clarity and trust.

The role spans content strategy, editorial planning, storytelling, launch and campaign support, regional proof points, and cross-functional partnership. The ideal candidate combines strong writing and editorial judgment with the ability to build systems, influence senior stakeholders, and operate across diverse markets and audiences.

Key Responsibilities

Lead APAC content strategy across priority audiences, markets, campaigns, launches, and regional moments.

Build an editorial roadmap that connects global marketing priorities with APAC opportunities and content gaps.

Develop and shape high-quality content including stories, narratives, campaign assets, event content, educational materials, customer and builder proof points, and executive-facing materials.

Partner with global content, Product Marketing, Comms, Global Affairs, Brand, Creative, and regional marketing teams to ensure content is accurate, distinctive, and regionally relevant.

Create repeatable processes for intake, prioritization, review, localization, production, and performance measurement.

Identify and elevate compelling APAC stories from customers, developers, startups, partners, and communities.

Advise regional stakeholders on audience needs, content formats, editorial trade-offs, and opportunities to improve resonance and leverage.

Manage external agencies, freelancers, localization partners, and production resources where needed.

Qualifications

10+ years of experience in content marketing, editorial strategy, brand storytelling, integrated marketing, or a related discipline.

Experience owning content strategy for a region, business line, or complex portfolio in technology or another fast-moving category.

Exceptional editorial judgment and communication skills, with a track record of improving both narratives and execution quality.

Demonstrated ability to translate global strategy into effective regional content across diverse audiences or markets.

Strong cross-functional experience with marketing, communications, product, creative, and senior business stakeholders.

Proven ability to build scalable content processes and make thoughtful prioritization decisions in ambiguous environments.

Comfort operating across strategic planning and hands-on content shaping.

Nice to Have

Experience with AI, developer platforms, technical products, or emerging technology.

Familiarity with APAC markets, localization, and multilingual content workflows.

Experience with customer, community, startup, or developer storytelling.

OpenAI is an equal opportunity employer and we value thoughtful builders who bring curiosity, rigor, and care to complex work. If you are excited to help shape how people across APAC understand and engage with OpenAI, we would love to hear from you.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and nega]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-01T07:34:16.965Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Developer Education Lead]]></title>
    <date>2026-06-02T04:08:51.617Z</date>
    <referencenumber>cmpw8bjty003ej87tq1rab481</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/developer-education-lead-41e7ad32</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamOpenAI's Developer Experience team helps developers, startups, and organizations around the world understand and build with frontier AI. Our mission is to make it seamless and delightful for builders to integrate AI into applications, workflows, products, and companies, and to give them the tools, resources, examples, and support they need to unlock AI’s full potential.

We create inspiring demos, sample applications, technical content, learning experiences, and developer programs that show what is possible with Codex, the OpenAI API platform, ChatGPT, and frontier models like GPT-5.5. The work spans product education, launch storytelling, hands-on teaching, and AI-native examples that help people move from curiosity to real-world fluency.

We collaborate closely with product, engineering, research, GTM, communications, and community teams to make the journey from first exposure to production adoption clear, effective, and memorable. As capabilities change quickly, we help users build durable mental models that transfer across products, models, and new ways of working.

About the RoleWe're looking for a Developer Education Lead to define how people learn to work with OpenAI's products at the frontier of AI. The pace of model and product progress means that what is possible can move faster than what people understand how to use. This role turns that gap into a rigorous, creative education strategy for developers, teams, and organizations learning to build with AI.

You will own the strategy for educating builders and organizations across OpenAI's ecosystem, from developers adopting APIs and coding agents to teams learning how ChatGPT, Codex, GPT-5.5, multimodal capabilities, and emerging product surfaces can reshape their work. The goal is not just to explain features - it is to create moments of understanding that help people build new intuition for what AI can do and how to use it responsibly, creatively, and effectively.

In this role, you will:

Own the education strategy for OpenAI's product ecosystem, ensuring learning experiences connect across Codex, ChatGPT, APIs, frontier models like GPT-5.5, enterprise surfaces, and future launches.

Build and manage an education roadmap that prioritizes what gets taught, for whom, when, and through which formats across launches and evergreen learning.

Create scalable educational programs, demos, curricula, workshops, launch materials, and interactive experiences that help audiences understand frontier AI capabilities.

Design learning journeys for broad audiences, including developers and non-technical users.

Partner with product, research, engineering, go-to-market, communications, and community teams to ensure major launches ship with clear educational framing, practical examples, and paths from first exposure to successful adoption.

Experiment with new formats for education, including in-product learning, interactive web experiences, hands-on labs, video, live teaching, community programs, and AI-native tutorials.

Use OpenAI's own products as teaching surfaces, creating examples where people learn by building, exploring, prompting, coding, analyzing, or automating real workflows.

Establish feedback loops, content audits, and quality bars so learning materials stay current as models, APIs, product surfaces, and deprecations evolve.

Define and track success metrics that reflect real understanding, activation, adoption, and durable AI fluency rather than only reach or impressions.

Your background might look something like:

7+ years of experience in developer education, product education, developer relations, technical content strategy, product marketing, instructional design, or a related field.

Experience owning education, developer experience, or content strategy roadmaps end to end, including how work is prioritized, shipped, maintained, and measured.

A track record of making complex technical or scientific ideas feel clear, exciting, and actionable for broad audiences.

Deep product intuition and strong judgment about how people adopt new tools, form mental models, and change workflows.

Enough technical fluency to use new AI tools deeply, prototype with them when useful, and partner credibly with product and engineering teams.

Experience building educational programs or content systems that scale across channels, launches, audiences, and levels of technical depth.

Ability to work across technical and non-technical stakeholders, synthesize ambiguous inputs, and turn early product direction into crisp learning experiences.

Comfort operating in fast-moving environments where the technology, audience needs, and product surface are changing quickly.

High taste for demos, examples, and teaching moments that make abstract capabilities tangible.

Strong writing, storytelling, editing, and facilitation skills across written, live, video, interactive, and AI-native formats.

A builder mindset, high agency, and a bias toward experimenting wi]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, ChatGPT, APIs]]></skills>
    <expirationdate>2026-08-01T04:08:51.617Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Head of Insurance and Risk Management]]></title>
    <date>2026-06-02T00:01:47.375Z</date>
    <referencenumber>cmpw8bjw0003oj87tj7kbzzrr</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/head-of-insurance-and-risk-management-c0e3f6e2</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Role

OpenAI is seeking an accomplished insurance and risk management leader to establish and lead its global insurance function within Treasury. You will develop a forward-looking risk financing strategy, protect the company's balance sheet, and enable informed decision-making as OpenAI expands its products, infrastructure, partnerships, and international presence.

You will bring deep technical command of complex commercial insurance programs and the judgment to translate evolving exposures into practical, scalable action. You will also work across Finance, Legal, Security, People, Real Estate, Infrastructure, Engineering, and Operations to bring discipline, clarity, and resilience to risks at the intersection of advanced technology and global growth.

This role is ideally based in San Francisco or Seattle, though we are also open to candidates based in New York City. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Design, implement, and continuously improve a global insurance program covering key lines, including cyber, directors and officers (D&amp;O), errors and omissions (E&amp;O), property, general liability, international programs, and emerging AI-related exposures.

Lead annual renewals, coverage reviews, market submissions, insurer negotiations, broker performance, and ongoing program optimization.

Lead the evaluation of captive insurance structures, including feasibility analysis, domicile and governance considerations, capitalization, service-provider oversight, and performance monitoring.

Establish a rigorous approach to identifying, quantifying, prioritizing, and mitigating insurable and enterprise risks.

Partner with Finance and Treasury leadership on balance sheet protection, liquidity planning, capital efficiency, captive capitalization, and broader risk financing decisions.

Assess insurance and risk implications of new products, strategic partnerships, acquisitions, international expansion, and significant infrastructure investments.

Coordinate with Accounting, Tax, Legal, and Internal Audit on insurance accounting, controls, compliance, and governance matters.

Own the claims management framework, coordinating timely and effective responses with internal stakeholders, brokers, counsel, and carriers.

Develop enterprise risk and insurance policies, governance routines, controls, escalation protocols, and reporting standards.

Prepare clear management and board-level reporting on exposures, claims trends, coverage adequacy, risk mitigation priorities, and financial impact.

Help shape enterprise resilience, crisis response, and business continuity planning as the organization grows.

You might thrive in this role if you have:

12+ years of progressive experience in corporate insurance, enterprise risk management, treasury, brokerage, underwriting, or a closely related advisory field.

Demonstrated experience designing or leading sophisticated insurance programs for a large-scale technology, infrastructure, or multinational organization. Strong preference for those with experience in a public company, late-stage high-growth technology company, or similarly complex global environment.

Deep expertise in cyber, D&amp;O, E&amp;O, property/casualty, and complex commercial insurance structures, including risk transfer and retention analysis.

Substantial experience establishing and managing captive insurance companies, including structuring, governance, capitalization, regulatory coordination, and ongoing program administration.

Proven ability to combine strategic judgment with hands-on execution, operational rigor, and scalable process development.

Excellent communication skills and a record of influencing cross-functional stakeholders and senior decision-makers.

Strong partnership orientation across finance, legal, security, technology, and operational teams.

Experience navigating emerging technology exposures, major cyber risks, large infrastructure footprints, or global program structures.

Experience with board reporting, enterprise risk governance, or alternative risk financing solutions beyond captive programs.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

Fo]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-08-01T00:01:47.375Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Physical Security Systems Engineer]]></title>
    <date>2026-06-01T23:37:03.214Z</date>
    <referencenumber>cmpw8bjwd003qj87tv9fwm790</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/physical-security-systems-engineer-f747c44a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[About the Team

The Physical Security Engineering team designs, deploys, and sustains the systems that protect OpenAI’s people, facilities, and critical infrastructure. We work across global office campuses, warehouses, labs and data centers, partnering with IT, Facilities, Construction, and Security Operations to ensure all environments meet stringent safety, reliability, and compliance requirements.

Our team owns security architecture from early site due-diligence through construction, commissioning, and long-term lifecycle management.

About the Role

OpenAI’s physical security technology environment is growing quickly, and the Corporate Security Technology Group needs a hands-on systems engineer who can keep the stack stable, responsive, and scalable day to day. This role is a hybrid of physical security infrastructure engineering, operational systems support, stakeholder coordination, and vendor management. It should not be framed as a badge or camera administrator role.

This person will support the systems that power OpenAI’s access control, video surveillance, GSOC workflows, and physical security operations. They will troubleshoot technical issues, manage operational tickets and escalations, coordinate remediation with integrators, support system programming and audits, and partner closely with IT/NetEng and Workplace to keep systems reliable as OpenAI expands.

In this role, you will

Troubleshoot complex physical security system issues across access control, video management, GSOC workflows, and supporting infrastructure.

Manage operational tickets and escalations with strong follow-through, documentation, and root-cause thinking.

Coordinate service requests, remediation work, and quality control with security integrators and vendors.

Support GSOC workflows, including system access management, auditing, feature requests, and security systems programming.

Partner with networking and infrastructure teams on VLANs, firewall policies, IP schemas, switch configurations, IoT device connectivity, Windows Server, and database dependencies.

Improve operational consistency across offices by reducing manual work, documenting repeatable processes, and identifying automation opportunities.

What’s success?

Security Operations, GSOC, Workplace, IT, and CorpSec partners can rely on stable, accurate, and well-supported physical security systems. Issues are triaged quickly, escalations have clear ownership, vendors receive precise direction, and recurring problems turn into better documentation, process, or automation. The hire helps the team support rapid office growth without letting reliability or operational quality drift.

Non-negotiable outcomes

Physical security systems issues are handled with clear triage, strong technical reasoning, and complete follow-through.

GSOC and Security Operations can depend on accurate access management, auditing, system programming, and support workflows.

Integrator and vendor work is coordinated tightly, with clear accountability and reduced back-and-forth.

Networking, server, database, and device dependencies are understood well enough to diagnose issues across the full stack.

Operational toil and vendor dependency decrease through better documentation, process improvements, and automation opportunities.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained th]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-31T23:37:03.214Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Monetization ML Infrastructure]]></title>
    <date>2026-06-01T22:36:47.461Z</date>
    <referencenumber>cmpw8bjsh003aj87t4rvgtz8g</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-monetization-ml-infrastructure-3c8d90fa</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.

Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.

This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.

About the RoleWe’re looking for an experienced Software Engineer to help build the machine learning infrastructure that powers OpenAI’s monetization and ads systems. In this foundational role, you’ll design and develop the platform layer that enables teams to build, train, deploy, serve, monitor, and continuously improve machine learning models used across advertising and monetization products.

You’ll work across the full ML lifecycle, from large-scale data pipelines and feature infrastructure to training systems, model serving, experimentation platforms, and monitoring frameworks. The systems you build will support high-throughput, low-latency advertising workloads while maintaining strict standards for reliability, privacy, security, and performance.

This role sits at the intersection of machine learning systems, distributed infrastructure, and monetization, offering the opportunity to shape the core platforms that help translate model innovation into measurable business impact.

In this role, you will:Design and build the ML infrastructure that powers OpenAI’s monetization and ads systems.

Develop large-scale data pipelines that process impressions, clicks, conversions, advertiser data, marketplace signals, and other inputs used to train and improve machine learning models.

Create scalable model training platforms that support ranking, conversion prediction, quality prediction, bidding, targeting, measurement, and optimization workloads.

Develop systems that safely and reliably move models from experimentation into production environments.

Build and improve real-time inference and serving infrastructure with strict requirements for latency, throughput, reliability, and availability.

Design experimentation frameworks that enable A/B testing, holdouts, model comparisons, ramping strategies, and measurement at scale.

Improve platform performance through optimization of training efficiency, inference latency, model throughput, infrastructure reliability, and cost effectiveness.

Collaborate closely with machine learning engineers, product engineers, data scientists, and monetization teams to accelerate the development and deployment of advertising systems.

You might thrive in this role if you:

Have 7+ years of professional software engineering experience building large-scale distributed systems or machine learning infrastructure.

Have experience building platforms that support machine learning workflows, including data processing, feature engineering, model training, deployment, or serving.

Have worked with high-volume data pipelines and infrastructure handling large-scale online systems.

Have experience designing reliable, low-latency systems with strong operational and observability practices.

Are comfortable working across the ML lifecycle, from data and training systems through deployment, experimentation, and monitoring.

Have experience improving infrastructure performance, scalability, efficiency, and reliability in production environments.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be adminis]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ML Infrastructure]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ML Infrastructure, Machine Learning, Distributed Systems]]></skills>
    <expirationdate>2026-07-31T22:36:47.461Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Regional Director, Commercial Expansion]]></title>
    <date>2026-06-01T22:32:16.180Z</date>
    <referencenumber>cmpw8bocp0044j87thj23eixm</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/regional-director-commercial-expansion-7790bdd7</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the roleWe are seeking a Regional Director, Commercial Sales to lead our new Commercial segment focused on high-value, fast-growing digital native businesses. This team will be the first line of communication with startups that have the potential to become Cursor's largest enterprise customers in the future.

You'll manage, coach, and grow a founding team of commercial AEs responsible for high-velocity sales cycles, true-up processes, and rapid response to inbound leads. As the founding sales leader in this motion, you will define and refine a repeatable playbook, establish forecasting practices, and help shape the trajectory of a segment that is brand new to the business.

What you'll doLead, coach, and develop a team of commercial AEs focused on high-velocity, transactional sales

Define and implement a repeatable commercial sales motion and supporting playbook

Establish regular forecasting practices for the commercial segment

Partner with RevOps and GTM leadership to refine tooling, processes, and reporting

Collaborate cross-functionally with Marketing, Finance, and Post-Sales to ensure seamless lead flow, forecasting accuracy, and account handoff

Hire, onboard, and scale a founding team of AEs

Act as a thought partner to senior GTM leadership in shaping the strategy for this new business segment

You may be a fit ifYou have experience leading a high-velocity/transactional sales team or demonstrated success as a high-performing velocity &amp; enterprise AE with player/coach experience

You have strong coaching skills with a track record of developing early-career sales talent into higher-scope roles

You have experience with PLG/velocity sales cycles

You have experience building and refining sales processes, playbooks, and forecasting systems

You have the ability to thrive in ambiguity and build structure in a new, fast-moving business segment

You have excellent cross-functional collaboration skills

You have strong communication and organizational skills, with comfort presenting to leadership and influencing outcomes]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cursor]]></skills>
    <expirationdate>2026-07-31T22:32:16.180Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[National Security Lead, State and Local Government, Global Affairs]]></title>
    <date>2026-06-01T19:29:27.809Z</date>
    <referencenumber>cmpw8bjul003gj87t4xke8d07</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/national-security-lead-state-and-local-government-global-affairs-18997482</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Washington]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly, our Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains. We ensure that insights from policymakers inform our work and – in collaboration with our colleagues and external stakeholders – seek to shape policy so that it aligns with and supports our mission.

About the Role

This is a senior individual contributor policy role leading OpenAI's engagement with state and major metropolitan homeland security, emergency management, cybersecurity, election security, law enforcement and public safety leaders. Reporting to OpenAI's Head of Global National Security Policy and working closely with the State and Local Government team, you will serve as OpenAI's primary policy representative on homeland security and AI issues at the state and municipal level, including in major metropolitan areas. You will position OpenAI as a trusted, nonpartisan partner on both the risks and beneficial uses of advanced AI, including cyber defense, critical infrastructure resilience, election security, disaster response, biosecurity, and public safety.

Key responsibilities include:

Build and sustain substantive relationships with state and major metropolitan homeland security advisors, emergency management directors, CISOs, election security officials, law enforcement and public safety leaders, and other relevant stakeholders.

Develop and execute a strategy for policy engagement on state and local risks from advanced AI, including AI-enabled cyber attacks, threats to critical infrastructure, election-related deception or interference, criminal misuse, and biological threats.

Represent OpenAI in engagements with governors' and mayors' offices, state and municipal agencies, relevant associations, and policy organizations on AI-related security and resilience issues.

Identify opportunities for beneficial state and local uses of AI, including improved cyber defense, disaster preparedness and response, threat analysis, and resilient public services.

Draft crisp policy briefs, strategy memos, stakeholder materials, and responses to inquiries on the national security and public safety implications of advanced AI.

Coordinate closely with OpenAI's State and Local Government team and relevant internal partners, including policy, partnerships, legal, security, preparedness, communications, and public sector teams.

Track state and local policy developments, operational priorities, and emerging concerns affecting the responsible deployment and governance of AI in homeland security and public safety contexts.

This role will require regular travel throughout the United States to engage with state officials, major metropolitan leaders, and relevant stakeholder communities.

You should thrive in this role if you:

Have deep knowledge of the U.S. homeland security, emergency management, cybersecurity, or critical infrastructure ecosystem, especially at the state and local level.

Are a trusted relationship builder who can engage credibly with senior public officials in a nonpartisan, policy-focused capacity.

Can translate complex AI capabilities and risks into practical policy and operational relevance for state and local leaders.

Are comfortable operating independently while collaborating closely across teams in a fast-moving environment.

Bring strong judgment, discretion, and a clear commitment to the responsible use of technology in service of public safety and democratic resilience.

We're looking for a blend of:

10+ years of relevant experience in homeland security, emergency management, cybersecurity, critical infrastructure protection, election security, public safety, or closely related policy fields.

Experience at DHS or in a senior state or major metropolitan homeland security, cyber, emergency management, or resilience role strongly preferred.

Demonstrated credibility with state and local government leaders and relevant professional associations or public safety networks.

Familiarity with AI-related security challenges, including cyber threats, election security, critical infrastructure, biosecurity, or criminal misuse.

Excellent communication, policy writing, and stakeholder engagement skills.

Strong strategic instincts and the ability to deliver results in a rapidly evolving environment.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-31T19:29:27.809Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Physical Security Systems Engineer]]></title>
    <date>2026-06-01T19:19:28.363Z</date>
    <referencenumber>cmpw8bjvi003kj87tx8y1wmdn</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/physical-security-systems-engineer-f31d7ef7</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Physical Security Engineering team designs, deploys, and sustains the systems that protect OpenAI’s people, facilities, and critical infrastructure. We work across global office campuses, warehouses, labs and data centers, partnering with IT, Facilities, Construction, and Security Operations to ensure all environments meet stringent safety, reliability, and compliance requirements.

Our team owns security architecture from early site due-diligence through construction, commissioning, and long-term lifecycle management.

About the Role

OpenAI’s physical security technology environment is growing quickly, and the Corporate Security Technology Group needs a hands-on systems engineer who can keep the stack stable, responsive, and scalable day to day. This role is a hybrid of physical security infrastructure engineering, operational systems support, stakeholder coordination, and vendor management. It should not be framed as a badge or camera administrator role.

This person will support the systems that power OpenAI’s access control, video surveillance, GSOC workflows, and physical security operations. They will troubleshoot technical issues, manage operational tickets and escalations, coordinate remediation with integrators, support system programming and audits, and partner closely with IT/NetEng and Workplace to keep systems reliable as OpenAI expands.

This role is based in our San Francisco office and requires onsite presence 5 days per week.

In this role, you will

Troubleshoot complex physical security system issues across access control, video management, GSOC workflows, and supporting infrastructure.

Manage operational tickets and escalations with strong follow-through, documentation, and root-cause thinking.

Coordinate service requests, remediation work, and quality control with security integrators and vendors.

Support GSOC workflows, including system access management, auditing, feature requests, and security systems programming.

Partner with networking and infrastructure teams on VLANs, firewall policies, IP schemas, switch configurations, IoT device connectivity, Windows Server, and database dependencies.

Improve operational consistency across offices by reducing manual work, documenting repeatable processes, and identifying automation opportunities.

What’s success?

Security Operations, GSOC, Workplace, IT, and CorpSec partners can rely on stable, accurate, and well-supported physical security systems. Issues are triaged quickly, escalations have clear ownership, vendors receive precise direction, and recurring problems turn into better documentation, process, or automation. The hire helps the team support rapid office growth without letting reliability or operational quality drift.

Non-negotiable outcomes

Physical security systems issues are handled with clear triage, strong technical reasoning, and complete follow-through.

GSOC and Security Operations can depend on accurate access management, auditing, system programming, and support workflows.

Integrator and vendor work is coordinated tightly, with clear accountability and reduced back-and-forth.

Networking, server, database, and device dependencies are understood well enough to diagnose issues across the full stack.

Operational toil and vendor dependency decrease through better documentation, process improvements, and automation opportunities.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, lo]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-31T19:19:28.363Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Physical Security Systems Engineer - APAC]]></title>
    <date>2026-06-01T19:18:23.006Z</date>
    <referencenumber>cmpw8bjvr003mj87tqr0wi81i</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/physical-security-systems-engineer-apac-d2440c12</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

The Physical Security Engineering team designs, deploys, and sustains the systems that protect OpenAI’s people, facilities, and critical infrastructure. We work across global office campuses, warehouses, labs and data centers, partnering with IT, Facilities, Construction, and Security Operations to ensure all environments meet stringent safety, reliability, and compliance requirements.

Our team owns security architecture from early site due-diligence through construction, commissioning, and long-term lifecycle management.

Role and Responsibilities

OpenAI’s corporate footprint is expanding quickly across APAC, and our physical security technology needs to scale with the same level of reliability, consistency, and care. The Corporate Security Technology Group owns the access control, video surveillance, and supporting infrastructure that help protect OpenAI’s people, offices, and events. This role will be the regional technical owner for designing, operating, troubleshooting, and improving those systems across APAC.

This person will partner closely with CorpSec, Workplace/REW, IT/NetEng, and security integrators to bring new offices online, maintain system health, resolve regional escalations, and improve how our physical security systems are documented, supported, and used. We’re looking for someone with deep subject matter expertise in Windows OS/Servers, networking and switching, and systems integration support, with the ability to diagnose issues across the full stack from endpoint devices and network infrastructure through servers, databases, and enterprise security platforms.

What you’ll do

Own day-to-day technical support and administration for physical security systems across APAC, including access control, video management, and related infrastructure.

Support new office buildouts by reviewing designs, coordinating vendors, validating system readiness, and ensuring clean operational turnover.

Troubleshoot complex issues across Genetec, Windows OS/Servers, databases, networking, switching, integrations, and field hardware.

Partner with IT/NetEng on connectivity, identity, infrastructure, firewall, VLAN, switch configuration, IP schema, routing, and device connectivity dependencies.

Support integrations between physical security systems and adjacent enterprise systems, including identity, access management, monitoring, and operational workflows.

Create and maintain drawings, site documentation, operating procedures, and training materials for administrators and end users.

Help reduce operational toil by improving standards, documentation, monitoring, vendor handoffs, and repeatable support practices.

What’s success?

APAC sites open and operate with reliable, well-documented physical security systems. Regional partners know who owns technical decisions, urgent issues are diagnosed quickly, and vendors are held to a clear quality bar. The hire raises the operating standard for APAC while helping the global team create more repeatable deployment, support, integration, and troubleshooting practices.

Non-negotiable outcomes

No avoidable access control, video coverage, or system reliability gaps caused by unclear ownership, weak vendor follow-through, or poor technical turnover.

Faster and cleaner resolution of regional incidents, odd-hour escalations, and new office launch issues.

Strong technical ownership across Windows OS/Servers, networking, switching, physical security platforms, and integration dependencies.

Strong partnership with CorpSec Operations/Protection, Workplace/REW, IT/NetEng, and regional vendors.

Better documentation, training, and handoff processes for admins, end users, and cross-functional partners.

A scalable regional support model that can keep pace with OpenAI’s APAC growth.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair C]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-31T19:18:23.006Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Adoption, Content & Community Manager, OpenAI for Government]]></title>
    <date>2026-06-01T17:36:04.909Z</date>
    <referencenumber>cmpw8bgss0034j87tr5xpci2f</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-adoption-content-community-manager-openai-for-government-a824925d</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Washington]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

At OpenAI, we believe artificial intelligence should benefit all of humanity — and that belief is nowhere more tangible than in the public sector. Governments serve people at scale, under real constraints, with high stakes and deep responsibility. The OpenAI for Government team exists to help public servants harness AI to reduce friction, increase impact, and spend more minutes on mission.

We partner with state, local, federal, and international governments to enable responsible, human-centered AI adoption — not just through technology, but through trust, education, community, and inspiration.

About the Role

We’re hiring an AI Adoption, Content, and Community Manager for Government Engagement &amp; Enablement — a builder, connector, storyteller, and super-user who lives and breathes ChatGPT and deeply understands public service.

This role sits at the intersection of enablement, education, community, communications, and marketing. You will be the connective tissue between OpenAI and government practitioners around the world — helping them learn, share, teach, celebrate wins, and feel confident using AI in their day-to-day work. You will intrigue them with inspirational adoption, deployment and practical content that makes them want to be customers and you will create initiatives that make them glad to be customers.

You will be an AI adoption expert and enabler, the keeper of government-specific content (training, enablement, messaging), the architect of community experiences (events, cohorts, networks), and a trusted guide who helps public servants see what’s possible — while meeting them where they are.

If you love teaching people how to use ChatGPT, building communities, writing compelling &amp; clear content, running great events, bringing order to chaos, and “giving away the win” so others shine — this role was written for you.

In this role, you will:

Design and deliver training &amp; enablement

Lead hands-on trainings and workshops to help government users get confident with ChatGPT.

Develop lightweight, scalable learning experiences that reduce risk, set expectations, and inspire responsible use.

Help smaller government customers get onboard and drive their practical use of ChatGPT.

Continuously refine OpenAI for Governments customer-facing content based on feedback, usage patterns, and evolving customer needs.

Create operational cadences that include gathering customer feedback across OpenAI for Government to provide back to the product team and others about what we are hearing from our customer base.

You will capture all trainings and enablement sessions with customers and training feedback and will work with teams to identify where we need to pivot or hone our approaches.

You will serve as an in-house expert to government customers looking for expert insight and advice on creating great customer employee/workforce communications campaigns to drive ChatGPT confidence and use.

Be a point of escalation for customers having issues and getting them the support they need.

Build and steward the OpenAI for Government community

Design and grow communities of practice across state, local, federal, and international governments, including location, role-based and mission-based communities.

Create, contribute, and maintain OpenAI for Governments contributions to spaces (virtual and in-person) where public servants can learn from each other, share use cases, and feel supported on their AI journey.

Create delightful experiences and engagements for customers. You will actively match-make and draw insights from commercial, education and other practices and hone them for a government audience.

Act as a trusted, empathetic presence for government users — understanding their constraints, motivations, and missions.

Be the beating heart, the “Chief Encourager” to help make sure every public servant who engages OpenAI feels seen and appreciated.

Own government-specific content and messaging

Serve as the source of truth for maintaining government-focused content, including training materials, enablement guides, playbooks, FAQs, customer impact stories, and messaging. Constantly creating new content, looking for ways to make information more sticky, more dynamic, as well as more digestible and simple.

Translate complex AI concepts into clear, compelling, and accessible language for public servants at every level.

Write high-quality copy across formats: training content, event materials, emails, articles, social posts, community updates, case studies, speeches, presentations, and internal briefs, working as a POC with the GA, Communications, and Marketing teams as needed.

Support OpenAI for Government leaders with compelling presentations, videos, slides and other material to prepare them and deliver memorable moments.

Take materials created by others and help upgrade the design and aesthetic supporting the  in-house design, brand, and resource teams as well as outside vendors.

C]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT]]></skills>
    <expirationdate>2026-07-31T17:36:04.909Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Partner Manager, Cloud Service Provider Partnerships]]></title>
    <date>2026-06-01T16:46:25.135Z</date>
    <referencenumber>cmpw8bjtm003cj87tw70rbcux</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/partner-manager-cloud-service-provider-partnerships-be23998e</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team
We are a small and fast-moving partnerships team that shapes and executes all aspects of collaboration with the largest partners. Your mission is to build, scale, and manage strategic partnerships to help advance OpenAI’s priorities. You will help manage and execute partnerships that accelerate adoption, unlock new capabilities, and extend OpenAI’s platform across key industries and use cases.

About the Role

In this role, you will manage OpenAI’s relationships with major cloud service providers (CSPs) to help scale our models' availability and use. These partnerships have huge customer and business impact: broader model access, faster launches, clearer buying paths, and stronger adoption by enterprises and developers.

You’ll build and lead the partnerships day to day: ensuring strong delivery with Research, Product, and Engineering, and coordinating with GTM and Marketing where needed for launch readiness; aligning internal executives and cross-functional leaders; and owning prominent external relationships. Success in this role means contributing to important business outcomes by turning agreements into reliable launches, strong user experiences, and sustained impact.

You are a product-focused, high judgment senior operator with a record of getting complex partnerships over the line. You understand how cloud providers work, including the product, marketplace, procurement, and launch paths that shape customer adoption. You move fast, can context-switch easily, and can motivate both external executives and internal teams. You set clear priorities, run tight execution, and deliver results.

Key Responsibilities:

Alongside GTM and Product, lead OpenAI’s work with major cloud providers, helping inform product, engineering, and launch priorities with cross-functional partners and driving the work to measurable results.

Shape the partnership operating plan for assigned cloud provider relationship: product priorities, roadmap alignment, launch milestones, partner dependencies, customer feedback loops &amp; measures of adoption and impact.

Partner closely with GTM leadership, supporting business targets and overall plan.

Make it easier for customers to use OpenAI models through their cloud provider by coordinating work across APIs, model serving, security, compliance, identity, billing, reliability, and support.

Drive launch readiness with cloud providers, ensuring cross-functional execution and engagement across Product, Eng. and GTM workstreams.

Bring customer and partner feedback back to OpenAI so product, engineering, and leadership understand what is needed to make cloud distribution successful.

Run senior partner meetings and operating reviews, including roadmap reviews, launch readiness, business updates, escalations, and follow-through on decisions.

Build simple playbooks and metrics that help OpenAI manage cloud partnerships well as the work scales.

Qualifications:

12+ years of experience in business development, partnerships, product strategy, or similar roles in cloud infrastructure, AI platforms, developer platforms, or enterprise software.

Experience owning important relationships with major cloud providers, cloud marketplaces, platform partners, or other complex enterprise technology partners.

Clear understanding of how cloud providers sell and operate, including marketplaces, private offers, consumption-based revenue, sales incentives, partner programs, cloud commitments, and enterprise procurement.

Enough technical fluency to work credibly with product and engineering teams on APIs, model serving, security, compliance, identity, networking, reliability, and support.

Strong cross-functional leadership; able to translate between executives, product and engineering teams, legal, finance, policy, partner teams, and GTM stakeholders involved in launch execution.

Strong commercial judgment and comfort making decisions with incomplete information.

Excellent communication and relationship-building skills, with the presence to work with senior leaders inside OpenAI and at cloud providers.

Experience working inside or closely with a major cloud provider, AI infrastructure company, developer platform, or high-growth enterprise technology company is strongly preferred.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic inf]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud, APIs]]></skills>
    <expirationdate>2026-07-31T16:46:25.135Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Deployment Engineer, Startups]]></title>
    <date>2026-06-01T16:42:41.263Z</date>
    <referencenumber>cmpgigz5j02quv2xqo3fuboqz</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-deployment-engineer-startups-13042357</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the team

The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We are seeking a technically proficient, business-minded AI Deployment Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups AI Deployment Lead.

This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale.

Provide proactive guidance to maximize business impact and accelerate application development.

Experiment and prototype alongside customers, demonstrating practical use cases.

Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources.

Synthesize and deliver valuable feedback to the Product and Research teams.

Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.

You’ll thrive in this role if you:

Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued.

Have passion for startups and a belief in their potential to become future large enterprises.

Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.

Built and/or delivered prototypes on top of our API platform.

Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API.

Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. 

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the followi]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Generative AI]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Generative AI, GenAI, Python, JavaScript]]></skills>
    <expirationdate>2026-07-31T16:42:41.263Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Staff Data Analyst, GTM]]></title>
    <date>2026-06-01T12:58:09.858Z</date>
    <referencenumber>cmpw8bn3y003sj87teeaw702l</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/staff-data-analyst-gtm-9a3e336a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About SupabaseSupabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

About the RoleWe're looking for a Staff Data Analyst, GTM to join our Data Intelligence team and help build the analytical foundation that powers Supabase's growing sales org. You'll work closely with Sales, Customer Success, and GTM Ops, helping us connect the dots between systems, data, and strategy -- turning raw signals into trusted data products and actionable insight for GTM leadership.

This role is ideal for someone who thrives in async, fast-paced environments, is AI-forward in how they work, and is excited about building something from the ground up alongside a scaling sales team.

What You’ll Be Responsible for

GTM Data Products

Build and own the canonical data products that Sales, CS, and GTM Ops rely on -- ARR, pipeline, account health, expansion signals, and renewal tracking

Define and document GTM metric standards so the whole org is working from consistent definitions

Build and maintain the underlying data models that power GTM reporting and analysis

Stakeholder Partnership

Serve as the dedicated analytical resource for Sales, Customer Success, and GTM Ops leadership

Translate business questions into clean analytical specs and deliver decision-ready findings

Build self-service tools and context layers that enable GTM teams to answer their own questions -- the goal is scale, not dependency

Own the GTM analytics function end-to-end, from data model to business strategy

Systems and Data Connectivity

Connect the dots between CRM, product usage, and billing data to give GTM teams a complete picture of the customer

Identify gaps and inconsistencies across systems and work cross-functionally to resolve them

AI-Powered Analysis

Use AI tools to accelerate analysis, increase output, and go deeper than a traditional analyst workflow allows

Help establish AI-forward ways of working within the Data Intelligence team and model that approach for the broader GTM org

You Might Be a Good Fit If YouHave 6+ years in analytics with meaningful time directly supporting Sales, Customer Success, or GTM Ops

Have built data models and BI layers from scratch, not just consumed them -- you understand the full stack from raw source data to business-facing output

Are comfortable working with CRM, product usage, and billing data and know how to connect them into a coherent picture of the customer

Have experience in a PLG or usage-based business and understand how self-serve signals translate into sales motion

Think in terms of self-service and scale -- your instinct is to build tools that make GTM teams independently capable, not to become a bottleneck

Can hold both the technical and strategic context at once -- you're as comfortable in a data model as you are in a conversation about territory design or expansion strategy

Are AI-forward in how you work -- you use LLMs and AI tooling habitually and have a clear point of view on how it changes what an analyst can do

Communicate insights clearly to non-technical stakeholders and know how to make data land in a business conversation

Thrive in async, autonomous environments and are energized by building something from the ground up

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not repl]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Vector Search, LLMs]]></skills>
    <expirationdate>2026-07-31T12:58:09.858Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Core Product Lead]]></title>
    <date>2026-06-01T10:32:59.602Z</date>
    <referencenumber>cmpw8bn9f0042j87td5g3r528</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/core-product-lead-b686fba2</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[Postgres has become the default data layer for AI-native applications, and Supabase is where most of those applications get built. The Core division owns the surfaces that make that possible: Postgres, Auth, Storage, Edge Functions, Realtime, and the platform substrate they all run on. 7,000,000+ developers build on these products, from indie hackers shipping side projects to enterprises in regulated industries running production workloads. Every line a customer writes against Supabase lands on one of them.

We're hiring a Core Product Lead to own the product strategy across Core. You'll manage the PMs who run each product, set the bets that decide what Core becomes over the next 12–18 months, and make the cross-product calls no individual PM can. The role reports to the Head of Product.

What you'll be responsible for:Build and develop the Core PM team. You'll manage the PMs across Platform, Databases, Auth, Storage, Functions, and Realtime. Hire into open seats, coach the PMs already on the team, run performance cycles, and make sure every product surface has an owner who can carry it.

Set the product strategy across Core. Decide where the bets are and how the products reinforce each other. Defend that agenda with the founders and the engineering leads who run each team.

Make the cross-product calls. The hardest prioritisation in Core sits between products. What Auth ships affects Databases. What Realtime needs from Postgres shapes the database roadmap. Own those calls.

Coach PMs on the craft. Customer evidence, problem definition, prioritisation, success metrics, written communication. Sit in on customer calls and roadmap reviews, read the docs and PRDs your PMs write, and tell them what's working and what isn't.

Represent Core in leadership. Be the person who can speak to the state of every Core product in a board meeting, customer escalation, or strategy review without pulling in the individual PM every time. Translate engineering reality into a story the rest of the company can act on.

You might be a good fit if you:Have managed product managers before, ideally at the Director level or equivalent. You've hired PMs, fired PMs, run performance cycles, coached people through promotions, and held a team together through a hard quarter. You can name the PMs you've developed and what they went on to do.

Have 8+ years of product management experience on developer tools or infrastructure, or an ex-founder background with the same depth. You're technical enough to read an architecture doc, follow a design discussion, and ask the right questions of engineers building distributed systems, databases, or cloud platforms.

Have shipped in the Postgres, database, or developer-infrastructure space. You've owned products in this category, not just worked next to them. You understand how developers evaluate them, what makes them stick, and where they fail under load. Familiarity with open-source go-to-market (where the product, community, and commercial offering reinforce each other) is a bonus.

Are biased toward speed. You'd rather have your team ship something imperfect and learn than spend another sprint refining a spec. You know when to stop planning and when to push your PMs to move.

Use AI to move faster. You use AI tools to compress the slow parts of the job (research, drafting, synthesising customer feedback, reviewing PRDs) so more of your time goes to judgment calls and to the people you manage.

Work async by default. Supabase is fully remote. You make decisions in writing, run your team through written artifacts, and move things forward without filling the calendar with meetings.

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages s]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Product Management, Distributed Systems, Cloud]]></skills>
    <expirationdate>2026-07-31T10:32:59.602Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Manager - Multigres]]></title>
    <date>2026-06-01T09:59:53.775Z</date>
    <referencenumber>cmpw8bn8q003yj87te8byui2k</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-manager-postgres-platform-7e173cc9</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About the roleSupabase runs Postgres for 7,000,000+ developers, from startups shipping their first AI app to enterprises migrating off legacy databases. Postgres is the foundation Auth, Storage, Edge Functions, and Realtime run on. Every other surface depends on what you own.

Our biggest bet is Multigres: a new multi-tenant Postgres architecture that changes how we run databases at scale. You own the full Postgres surface: Multigres, OrioleDB, Postgres itself (observability, extensions, security), the connection pooler, and the Data API.

What you'll be responsible for:Talk to developers across the full spectrum. Startups shipping their first AI app, enterprises migrating off managed databases, engineers debugging connection pool exhaustion at 3am. Find the real blockers and bring them into every prioritisation and scoping call.

Lead Multigres to production adoption. Define what success looks like for customers: the migration path, the rollout story, and the metrics that confirm it's working. Multigres is Supabase's biggest infrastructure bet; you own whether it lands.

Own the problem definition, requirements, and success metrics for every capability we ship. Surface feasibility, migration complexity, and rollout risk before engineering commits. Set the metric before the team starts building, then track it after launch.

Prioritise across competing surfaces. Every quarter you're choosing between platform reliability investments, developer-experience improvements, and enterprise requirements across five engineering teams. Make the call and defend it.

Keep engineering, design, and leadership aligned on the roadmap. Postgres sits under Auth, Storage, Realtime, and every other Supabase product. Communicate what's coming, why, and in what order, to five engineering teams and the rest of the company.

You might be a good fit if you:Have 7+ years of product management experience on developer tools, or an ex-founder with strong product instincts. You're technical enough to read an architecture doc, follow a design discussion, and ask the right questions.

Have shipped products where the database behaviour is the experience. You know how connection limits, query planning, and extension behaviour translate to customer pain. Familiarity with the Postgres ecosystem (extensions, tooling, community) is a bonus.

Are biased toward speed. You'd rather ship something imperfect and learn than spend another sprint refining a spec. You know when to stop planning and start building.

Build with what you own. You use the products on your roadmap: running queries, testing the connection pooler, prototyping against the Data API. You develop opinions through first-hand use.

Use AI to move faster. You use AI tools to compress the slow parts of the job (research, drafting, synthesising feedback) so you spend more time on judgment calls.

Work async by default. Supabase is fully remote. You make decisions in writing and move work forward without meetings.

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Hiring ProcessWe keep things simple, async-friendly, and respectful of your time:

Apply – Our team will review your application.

Intro Call – A short video chat to get to know each other.

Interviews – Up to four calls with:

Team Leads

Future teammates

Someone cross-functional from product, growth, or engineering (depending on the role)

Someone from our leadership/founding team

Decisio]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Product Management]]></skills>
    <expirationdate>2026-07-31T09:59:53.775Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Manager - Infrastructure]]></title>
    <date>2026-06-01T09:46:41.367Z</date>
    <referencenumber>cmpw8bn88003wj87th2yaoytt</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-manager-platform-6434575c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[Supabase is the open-source Postgres development platform that 7M+ developers and thousands of enterprises depend on every day. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

About the roleWe’re hiring a Product Manager to own the platform primitives every Supabase product runs on, including internal features like compute, disks, networking, and the API gateway, and external features like read replicas, custom domains, PrivateLink, and Bring Your Own Cloud.

What you'll be responsible for:Talk to customers across the full spectrum. Indie developers running a single nano project, fast-growing startups whose costs are dominated by compute and disk, enterprises walking through a network-architecture review, and partners building on top of Supabase. Find the real blockers and bring them back to the roadmap.

Own the problem statement and requirements behind every platform bet. Capture the customer evidence behind each decision, name the cost, capacity, and reliability constraints, and give the team a target it can hit.

Decide what gets built, what gets deferred, and what gets cut. Every quarter you're choosing between enterprise unlocks blocking deals, reliability and cost wins for the long tail of projects, and net-new capabilities that change what Supabase can run. Set the priorities and defend them.

Define how each launch is measured before it ships. Set the metric, agree on the threshold, and track it after launch. Know whether a feature moved enterprise deal velocity, project economics, or platform reliability. Use that to sharpen the next call.

Keep engineering, design, and leadership aligned. The platform touches every other Supabase product, every region, and every customer tier. Write the roadmap, surface dependencies before they become blockers, and keep decisions moving.

You might be a good fit if you:Have 7+ years of product management experience on developer tools, or an ex-founder with strong product instincts. You're technical enough to dive in: read an architecture doc, follow a design discussion, ask the right questions.

Have shipped cloud infrastructure as a product. You've owned at least one of compute, networking, storage, or multi-region/multi-tenant systems at a cloud, infra, or PaaS company. You understand the tradeoffs well enough to judge them: instance sizing and capacity, disk and storage economics, scale-to-zero vs. always-on, single-tenant vs. shared, the gap between "works in one region" and "works in twenty." Familiarity with how enterprises buy infrastructure (PrivateLink, BYOC, procurement) is a bonus.

Are biased toward speed. You'd rather ship something imperfect and learn than spend another sprint refining a spec.

Build with what you own. You run real workloads on the products you own: standing up a read replica, putting a custom domain in front of a project, terminating traffic through PrivateLink, deploying onto BYOC.

Use AI to move faster. You use AI tools to cut the slow parts so more time goes to judgment calls.

Work async by default. You make decisions in writing and move threads forward without meetings.

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Hiring ProcessWe keep things simple, async-friendly, and respectful of your time:

Apply – Our team will review your application.

Intro Call ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Vector Search, Cloud, Product Management]]></skills>
    <expirationdate>2026-07-31T09:46:41.367Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Partner AI Deployment Engineer - AWS]]></title>
    <date>2026-06-01T08:53:34.275Z</date>
    <referencenumber>cmpw8bjlv0038j87tna24v31r</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/partner-ai-deployment-engineer-aws-bb064216</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[India - Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About the team

The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems.

As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI-powered solutions.

About the role

We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams).

This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments.

You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities.

This role is based in Bangalore. 

In this role, you will:

Strategic AWS Engagement &amp; InfluenceServe as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.

Influence joint account strategy and technical direction for high-priority opportunities.

Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices.

Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem.

Complex Deal Leadership &amp; ExecutionLead technical strategy for large, ambiguous, and high-stakes enterprise engagements.

Guide customers from early ideation through architecture design, prototyping, and production deployment.

Act as a technical decision-maker and escalation point, de-risking complex implementations.

Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.

Solution Architecture &amp; Hands-On BuildingDesign and communicate end-to-end AI architectures leveraging OpenAI and AWS services.

Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.

Establish best practices for scalable, secure, and production-ready GenAI systems.

Ensure solutions are designed for repeatability, extensibility, and partner-led delivery.

Ecosystem Enablement &amp; ScaleEnable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).

Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.

Mentor and uplift partner technical teams, accelerating their path to self-sufficiency.

Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement.

Cross-Functional Leadership &amp; FeedbackPartner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution.

Act as a bridge between field and product, delivering high-signal insights to inform roadmap and prioritization.

Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function.

You’ll thrive in this role if you:

Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.

Operate as a technical leader and systems thinker, not just an individual contributor.

Balance hands-on building with strategic influence and scale.

Know when to go deep technically vs. enable others to execute.

Build trust quickly with engineers, architects, and executives alike.

Default to creating repeatable patterns, not one-off solutions.

Are comfortable owning ambiguous, high-visibility problem spaces.

Take a long-term, ecosystem-oriented view of impact.

Are motivated by driving customer and partner success at scale.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s A]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[AWS]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[AWS, Generative AI, GenAI]]></skills>
    <expirationdate>2026-07-31T08:53:34.275Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Manager - Technical Program Management]]></title>
    <date>2026-06-01T08:17:45.343Z</date>
    <referencenumber>cmpw8bn49003uj87t8ktwge7t</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-manager-technical-program-management-4a6d9d3f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About SupabaseSupabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

About the RoleWe're looking for a Senior Manager, Technical Program Management to join our R&amp;D Organization and stand up the Technical Program Management function at Supabase. You'll report to the Head of Product, Engineering, and Design and partner directly with the heads of Customer Success, Support, GTM, and PMM. You'll manage a small team of senior IC TPMs (starting with one), and you'll personally own the cross-functional interface fabric between Engineering, Product, Design, and the rest of the value delivery chain.

This is a founding role for the function. The shape, standards, and operating model are yours to define, against a clear position: TPM is not PMO. Engineering Managers are accountable for delivery on their teams. TPMs own the connective tissue between teams and between functions, the dependency graph of our largest programs, and the company standard for how we run projects in Linear.

This role is ideal for an experienced operator who has built TPM functions before, has strong technical fluency, and wants to define the operating fabric of a fast-moving, distributed software company without falling into the failure modes of centralized status-collection.

What You'll Be Responsible forStand up the TPM function at Supabase. Define the operating model, the engagement model within product, eng and design, the standards we hold ourselves to, and the bar for the role. Hire and grow the team over time.

Manage the senior IC TPM and grow the team as the function proves out. Coach, set direction, hold the standard, and protect the team from drift into status-collection or hygiene-on-behalf-of-teams.

Own the cross-functional interface fabric between EPD and the rest of the company — named seams between Engineering and Customer Success, Support, GTM, PMM, with DRIs on each side, hand-off contracts, SLAs, and escalation paths. This is the unowned gap in the company today and your highest-leverage area in the first year.

Author the company standard for project management in Linear, and pair synchronously with EMs and program leads on key cross-functional projects to make sure they get broken down against the standard. The standard covers project structure, tagging and labeling, milestone conventions, issue breakdown patterns, and the leadership views we use to read program state. You are accountable for the outcome of that standard in Linear at the company level.

Hold the line on accountability. EMs are accountable for delivery and for the project management discipline on their teams. Your team authors the standard and supports synchronously. You do not let the TPM function drift into doing hygiene work on behalf of teams; that failure mode is the explicit antipattern we're hiring against.

Own the dependency graph and launch readiness for our largest cross-functional programs — multi-team launches, major customer migrations, and platform initiatives that span 3+ engineering teams and downstream functions.

Operate the program-level rollup infrastructure that makes program state legible to leadership without adding load on teams. Status is written by EMs. Your function builds the connective infrastructure.

Partner across EPD with the heads of Engineering, Product, and Design on a single shared system for how we run work end-to-end, and reinforce the artifact discipline of our delivery operating model.

You Might Be a Good Fit If YouHave 10+ years of experience in technical program management, including experience standing up or scaling a TPM function in a high-growth software company

Have managed a team of senior IC TPMs and held the bar for the function

Have strong technical fluency: you read code well enough to find the real risk in a plan, and you hold your own with senior engineers on architecture and dependencies

Have built cross-functional interfaces between engineering and the field (Customer Success, Support, GTM, PMM) that held under launch pressure

Have operated Linear, Jira, or equivalent at scale, including defining the standard that many teams run on

Have a clear point of view on the difference between TPM and PMO, and on why hygiene-on-behalf-of-teams is a failure mode

Are comfortable working with Engineering Managers as the accountable owners on each team

Communicate with precision in writing and async, in a globally distributed team

Have high judgment and can hold a position without positional authority

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Vector Search, Linear, Project Management, Jira]]></skills>
    <expirationdate>2026-07-31T08:17:45.343Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Consumer & Product Communications Lead, APAC]]></title>
    <date>2026-06-01T01:58:26.880Z</date>
    <referencenumber>cmpusvwkw0001nyoq3m4a7ga6</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/consumer-product-communications-lead-apac-5ac46d9b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About OpenAI

OpenAI is an AI research and deployment company working to ensure that artificial general intelligence benefits everyone. We build and deploy powerful AI systems with a focus on real-world impact, safety, and responsible adoption. Our work sits at the intersection of technology, business, and society, and comes with both opportunity and scrutiny.

Our communications team supports this mission by clearly and authentically explaining our technology, products, and approach, helping business leaders, partners, developers, and policymakers understand how AI can be adopted responsibly and at scale to deliver tangible benefits.

The roleWe’re looking for a senior consumer and product communications lead for APAC, based in Singapore, to shape how OpenAI and its products are understood by people across the region.

Reporting to the Head of Communications for APAC, this role owns regional consumer and product communications strategy and execution, with a focus on helping audiences understand the everyday value of products like ChatGPT and Codex, building trust, and supporting long-term adoption across APAC markets. You’ll shape how OpenAI is understood by consumers, creators, developers, local communities, and the media.

This is a builder role for someone equally comfortable setting regional strategy, developing strong narratives, and helping local teams turn global priorities into work that resonates in their markets. You’ll partner closely with global teams, local communications leaders, and cross-functional partners to deliver impact on the ground.

What you’ll doSet and execute the APAC consumer and product communications strategy, aligned with regional priorities and global narratives

Develop clear, accessible narratives that explain the everyday benefits and usefulness of OpenAI’s products, including ChatGPT and Codex, for audiences across APAC

Work with local comms leads to turn global launches, product updates, and research into locally relevant stories, campaigns, and media moments

Lead earned strategy for consumer and product audiences across the region, including consumer, technology, lifestyle, culture, and creator media

Identify and build stories that show how people across APAC are using OpenAI’s products in meaningful, practical, and locally relevant ways

Help define the regional approach to consumer education, product storytelling, and creator or influencer engagement, working closely with local teams and relevant global partners

Support local teams in building strong, repeatable consumer communications programmes across priority APAC markets, not just one-off launch moments

What you bring12+ years’ experience in consumer, product, or technology communications

Deep experience developing consumer-facing narratives for technology products and translating complex capabilities into clear, relatable benefits

Strong earned media experience, with relationships across consumer, technology, lifestyle, and culture media

A good understanding of how products become part of everyday life, and how communications can help drive understanding, trust, and adoption

Proven experience partnering closely with product, marketing, legal, policy, and research teams

Experience operating at exec level and advising leaders in high-profile, ambiguous environments

Ability to flex confidently across product, consumer, corporate, and policy topics with sound judgement

Experience working in international or regional roles within global companies and complex operating environments

You’ll thrive in this role ifYou like building from scratch and shaping how a company shows up with everyday users

You have a creative, audience-first mindset and go beyond traditional product PR and media relations

You are interested in what makes technology feel useful, relatable, and worth adopting in different markets

You care as much about trust and understanding as you do about reach

You are comfortable moving between big regional strategy and the practical work needed to help local teams succeed

You’re comfortable navigating complexity, scrutiny, and fast change

You want to work in a small, senior team where autonomy and judgement really matter

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 
]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, ChatGPT]]></skills>
    <expirationdate>2026-07-31T01:58:26.880Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Technical Threat Investigator, Threat Intel Engineering - UK]]></title>
    <date>2026-05-30T02:10:28.058Z</date>
    <referencenumber>cmpgih2i203f2v2xqokid86iz</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/technical-threat-investigator-threat-intel-engineering-uk-59c0dfa9</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[About the Team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.

The Threat Intelligence team protects OpenAI’s technology, people, research, and infrastructure by proactively identifying and disrupting adversaries who seek to compromise our systems or misuse our models. We investigate sophisticated threats, build tooling to scale and augment analysis, and deliver intelligence that shapes security strategy and equips leadership with timely, risk-aware insights. We combine technical depth, investigative rigor, and strong cross-functional partnerships to uncover threats and drive impact across OpenAI’s security and research organizations.

About the Role

As a Technical Threat Investigator at OpenAI, you will help protect the company from sophisticated adversaries targeting OpenAI and the broader ecosystem, as well as those attempting to misuse our models in support of cyber operations.

This is a deeply investigative role. You will independently conduct complex, end-to-end investigations into capable threat actors to understand their behavior, infrastructure, emerging techniques, and how AI is integrated into their workflows. You’ll use these insights to proactively identify malicious activity and drive detection, disruption, enforcement, and safety improvements across the company.

You’ll translate your investigative findings into durable solutions that scale impact. You’ll build and own lightweight tooling, automate where it matters, and create AI-assisted workflows to make investigations faster, more repeatable, and more effective over time.

In this role, you will:

Conduct deep, end-to-end investigations into sophisticated threat actors interacting with OpenAI’s models, products, and broader ecosystem.

Think like an adversary — model attacker behavior, anticipate misuse patterns, and proactively hunt for, identify, and disrupt malicious activity.

Leverage internal telemetry, OSINT, vendor data, and in-house safety systems to produce high-confidence findings on adversarial use of our models in cyber operations, platform abuse, and threats targeting OpenAI.

Translate investigative findings into concrete improvements across detection, enforcement, intel, and safety pipelines.

Build tooling, scripts, automations, and agentic workflows that scale investigative throughput and reduce manual effort.

Prototype solutions in ambiguous and emerging problem spaces, including new product surfaces, novel attacker behaviors, and areas where existing coverage may be limited.

Partner closely with teams across Security, Safety Systems, Product Policy, and Integrity to operationalize findings and drive meaningful outcomes.

Produce clear, high-signal written outputs and recommendations that inform decision-making across technical and executive stakeholders.

You might thrive in this role if you have:

Experience in threat intelligence, incident response, offensive security, or a closely related field.

Solid experience investigating sophisticated threat actors, including model misuse, platform abuse, or other adversarial activity in complex environments.

A strong understanding of adversary behavior, infrastructure, and tradecraft, and the ability to apply that understanding to proactive investigations.

Demonstrated ability to independently drive deep technical investigations from ambiguous signals through to clear, actionable findings.

Experience using AI to extend or accelerate investigative workflows.

Strong scripting ability and comfort building lightweight automation, investigative tooling, or workflows that improve scale and repeatability.

Strong ability to leverage telemetry from diverse systems and vendors to drive investigations, including directly querying, extracting, and stitching together data where needed.

Strong written and verbal communication skills, especially the ability to translate technical investigations into high-signal outputs for diverse stakeholders.

Comfort operating independently in ambiguous, fast-moving problem spaces with minimal oversight.

This is a remote role with close collaboration required across teams in the US and UK. While the role is remote, regular in-person engagement with our San Francisco (SF) headquarters will be expected. Relocation assistance is available for candidates who wish to relocate to SF.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-29T02:10:28.058Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[JRVP, Solutions Architecture - APJ]]></title>
    <date>2026-05-29T23:45:38.495Z</date>
    <referencenumber>cmpry053t00d4d4ee03v9zxe5</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/rvp-solutions-architect-apj-31a9eda6</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the roleAs the Regional Vice President (RVP) of Solution Architecture, you will build and lead an elite, post-sales technical organization for our highest-value enterprise customers. The team is a core part of GTM with the mandate of transforming Cursor's strategic accounts into compounding growth engines by driving seamless deployment, accelerating adoption, and establishing robust competitive moats.

In this second-line leadership position, you will manage first-line managers and senior Solution Architects, ensuring a relentless focus on long-term architecture, complex workflow design, and sustained value realization. You will also operate as a key executive sponsor, routinely engaging with CTOs, VPs of Engineering, and platform owners to shape long-term technology partnerships.

 What you’ll doLead and scale a regional organization of Solution Architects, guiding your team to maximize post-sale impact within enterprise accounts

Partner with Sales, AI Deployment Managers (ADM), Field Engineering, and Forward Deployed Engineers (FDE) to build a joint operating model, ensuring seamless transitions from pre-sales evaluations to long-term technical success

Champion critical executive relationships, directly influencing the technical roadmaps of platform leaders and C-suite executives to drive account expansion

Own and uphold a rigorous team standard, running calibration disciplines to build a top-tier technical organization

Develop repeatable frameworks, deployment playbooks, and standardized procedures for advanced workflow design and adoption

Channel regional field intelligence into structured, actionable feedback for Product and Engineering teams to continuously shape the platform's future

You may be a fit ifYou have 5+ years experience leading customer-facing technical teams (Solution Architects, Sales Engineers, Solutions Consultants, or post-sale architects) in enterprise software

You have the ability to drive Go-To-Market strategies in enterprise software (ideally developer-related tools, infrastructure, AI, or security platforms)

You have a proven ability to move fluidly between intricate architectural decisions and multi-year, strategic account roadmaps

You have exceptional communication skills, adept at navigating high-stakes environments and negotiating technical strategy with C-suite engineering leaders

You have an entrepreneurial spirit with a passion for designing scalable processes and structures from scratch within fast-paced environments with lots of ambiguity

You have a track record of recruiting and retaining high-caliber technical talent at scale without compromising quality

You are willing to travel to customers needed]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cursor]]></skills>
    <expirationdate>2026-07-28T23:45:38.495Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[DAQ Station Engineer]]></title>
    <date>2026-05-29T23:42:45.910Z</date>
    <referencenumber>cmpry00ny00cad4eeizpimps4</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/daq-station-engineer-db990aec</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives.

About the RoleWe’re looking for a DAQ Station Hardware Engineer to develop and improve the physical hardware that goes into OpenAI’s robotic data collection stations. This role will design, prototype, validate, and deploy station hardware such as fixtures, mounts, operator interfaces, workcell equipment, safety mechanisms, and other electromechanical systems that support reliable daily operation.

You will work closely with Robotics Engineering, Research, Software, and Operations to translate evolving needs into practical hardware solutions that are robust, serviceable, and scalable across an expanding DAQ footprint.

What You’ll DoDesign and develop station hardware and electromechanical subsystems, including fixtures, equipment mounts, operator-facing hardware, sensing support structures, enclosures, and safety-related components.

Translate program and operational needs into clear hardware requirements, prototypes, and production-ready designs.

Support hardware through the full lifecycle: concept, detailed design, build, test, deployment, issue resolution, and iteration.

Partner with cross-functional teams to ensure station hardware integrates cleanly with robotics platforms, software, data collection workflows, and operator use cases.

Improve station reliability, usability, and serviceability by diagnosing field issues and driving durable engineering fixes.

Work with vendors, machine shops, and fabrication partners to produce custom hardware and manage technical build quality.

Contribute to design standards, documentation, and validation practices that support repeatable station deployments.

You Might Thrive in This Role If YouHave strong experience developing mechanical or electromechanical hardware for complex physical systems.

Have designed equipment, fixtures, workcells, test systems, automation hardware, or similar operator-facing environments.

Are comfortable moving from ambiguous requirements to hands-on prototypes and robust released designs.

Bring sound judgment around mechanical design, DFM/DFA, serviceability, durability, ergonomics, and real-world use conditions.

Work effectively across engineering and operations teams and enjoy solving problems that show up in live physical environments.

Preferred QualificationsExperience in robotics, automation, advanced manufacturing, test systems, or high-complexity hardware environments.

Familiarity with CAD, prototyping, fabrication methods, design documentation, and issue tracking.

Experience developing hardware intended for repeated daily use in operational settings.

Experience working with external suppliers, machine shops, or contract fabricators.

Workplace &amp; LocationThis role is based in San Francisco, CA and will require substantial in-person presence to support hardware development, validation, and deployment.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-28T23:42:45.910Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Producer, Global Events]]></title>
    <date>2026-05-29T22:51:13.076Z</date>
    <referencenumber>cmpry00mr00byd4eegw3uhxl5</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/producer-global-events-92d7f387</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About The Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity.

The Global Events team is a dynamic and ethos-driven group dedicated to crafting one-of-a-kind and extraordinary experiences that encompass OpenAI’s values and mission. Our team is driven by a deep passion for shining the spotlight on others and bringing people together to connect in meaningful ways.

The Events Production team, a sub-team of Events, collaborates with Event Managers to transform ideas into well-organized, immersive experiences that resonate with audiences and achieve business goals.

About the Role
We’re looking for an exceptional Event Producer to join the Global Events team at OpenAI — someone who thrives in the controlled chaos of live production and knows how to turn ambitious ideas into beautifully executed experiences.

In this role, you’ll help bring some of OpenAI’s most visible moments to life — from developer events and global launches to product-driven experiences, enterprise events, and entirely new formats we haven’t invented yet. You’ll partner closely with teams across product, marketing, research, and leadership to translate big ideas into real-world productions that feel seamless, thoughtful, and distinctly OpenAI.

As a Producer, you’ll own the full production lifecycle — shaping concepts, building plans, managing vendors and partners, running timelines, and ensuring every detail lands with precision. This role sits at the intersection of creativity and operational excellence: equal parts builder, problem-solver, and calm presence when the stakes are high.

Our team takes pride in craft, notices the small things others miss, and moves fast without sacrificing quality. The ideal candidate brings strong experience in live production, stage management, or agency-side event production, along with a curiosity about AI and how it will shape the way people gather, learn, and connect.

This contract role is based in San Francisco, CA, with a hybrid schedule (three days per week in office). Regular domestic and international travel is expected (~30%).

In this role, you will:

Manage stage productions : oversee content production, stage management, and AV coordination, ensuring all aspects of stage execution — from rehearsals to live production — run seamlessly.

Collaborate on event execution strategies : partner with event managers and business DRIs to shape event plans, aligning on vision, objectives, and goals to deliver impactful experiences.

Support creative production : collaborate with creative teams to bring bold ideas to life, ensuring the vision is translated into every detail of the event. Manage creative vendors and partners onsite to deliver exceptional experiences.

Source and negotiate vendors : identify and secure top-tier vendors, agencies, and suppliers, negotiate contracts, and build lasting partnerships.

Oversee risk management and contingency planning : secure necessary permits and insurance while managing risks and resolving onsite issues to keep events running smoothly.

Track budgets and financials : manage event production budgets meticulously, track expenses, and ensure events stay within allocated limits.

Coordinate project management : oversee detailed project workbacks, facilitate weekly progress meetings, and keep teams aligned on timelines and deliverables.

You might thrive in this role if you have:

Have 4 years of experience in production / stage management, event production, agency event management / production, or similar roles.

Find deep value in bringing your whole self to work, celebrating differences in perspectives, and prioritize bringing joy to the front of your projects.

Have a proven track record of managing budgets over $500k.

Thrive in fast-paced environments and enjoy working across multiple events.

Understand the value of stagecraft, nuanced transitional scripting in show flow development, and how to translate brand values to stages and screens.

A strong working knowledge of full-stack event audio visual elements, including Audio, Video, and Lighting.  An understanding of fundamental video and audio signal flows in event and broadcast environments while not required, is a plus.

A hunger and desire to keep on top of the latest cutting edge event technology, and a desire to elevate and drive improvement in event quality.

Demonstrate strong cross-functional team management experience, with a deep commitment to fostering open communication, embracing a diversity of backgrounds and perspectives, and bringing your true self to work every day.

Enjoy finding innovative ways to use OpenAI tools and products to scale your team’s work.

Show a deep interest in artificial intelligence that benefits all of humanity.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI s]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Project Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Project Management, Flows]]></skills>
    <expirationdate>2026-07-28T22:51:13.076Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Manager, Technical Accounting (Compute Infrastructure)]]></title>
    <date>2026-05-29T22:48:13.889Z</date>
    <referencenumber>cmpgih38q03k2v2xq0ruhr1p2</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-technical-accounting-manager-compute-infrastructure-150f743e</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. The Technical Accounting team plays a crucial role in helping OpenAI navigate complex, judgmental, and rapidly evolving accounting matters with rigor and clarity. We aim to bring both technical excellence and strong business partnership to some of the most novel accounting questions in the industry.

About the Role

As a Technical Accounting Manager, Compute Infrastructure, you will lead the evaluation, documentation, and operationalization of complex accounting matters related to OpenAI’s compute infrastructure and other strategic business activities. This is a high-impact role at the intersection of technical accounting, infrastructure strategy, financial reporting, and cross-functional execution.

You will be responsible for analyzing complex and non-routine transactions under U.S. GAAP, developing well-supported accounting conclusions, and translating those conclusions into practical guidance for accounting operations, financial reporting, controls, and business partners. Areas of focus may include leases, cloud compute arrangements, power purchase agreements, related strategic investments, consolidation evaluations, and other emerging or non-standard arrangements.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Evaluate complex, judgmental, and non-routine transactions and document accounting conclusions under U.S. GAAP.

Partner with Controllership, Tax, Legal, FP&amp;A, Procurement, Infrastructure, and other cross-functional teams to assess the accounting implications of new products, commercial arrangements, strategic transactions, and business initiatives.

Translate technical accounting conclusions into practical operational guidance, including journal entries, close procedures, disclosure considerations, and control requirements.

Lead the preparation and review of technical accounting memoranda, position papers, and other documentation for management, auditors, and internal stakeholders.

Maintain and enhance OpenAI’s technical accounting framework, including policies, interpretive guidance, and documentation for both recurring and non-recurring accounting matters.

Advise on financial reporting implications of complex accounting areas, including financial statement presentation and footnote disclosures.

Help design and implement scalable processes to support new accounting requirements, evolving business activities, and continued organizational growth.

Serve as a trusted thought partner on novel, high-impact accounting issues across the organization.

You might thrive in this role if you have:

CPA or equivalent accounting qualification.

10+ years of progressive accounting experience, with at least 2 years in technology company environments.

Prior experience in a public accounting firm at a manager or senior manager level.

National office or Accounting Advisory background preferred.

A strong foundation in technical accounting under US GAAP, with expertise in financial instruments, consolidation and lease accounting.

Demonstrated ability in managing and supporting high-velocity, cross-functional teams on impactful projects.

Exceptional problem-solving capabilities, strategic thinking, and the ability to work in a fast-paced, innovative environment.

Compensation Range: $216K - $240K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resul]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud]]></skills>
    <expirationdate>2026-07-28T22:48:13.889Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Manager, Transfer Pricing]]></title>
    <date>2026-05-29T22:47:58.945Z</date>
    <referencenumber>cmpgih0da030wv2xqcsmkko0s</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-manager-transfer-pricing-cd865b1c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. 

The Tax team is a vital part of OpenAI, ensuring compliance with tax laws and regulations while optimizing the company's tax position. We work closely with various departments to provide tax insights and strategies that support the company's growth and financial objectives.

About the Role:

This role will support transfer pricing initiatives and other strategic transactions by advising on risks. In parallel, the role will serve as a core tax advisor to the business on transfer pricing matters, including business expansion, operating model,  transfer pricing considerations and the tax aspects of commercial and intercompany arrangements. The Transfer Pricing Senior Manager will partner closely with Legal, Finance, Corporate Development, and commercial teams to ensure tax positions are technically sound, operationally executable, and aligned with business and compliance requirements.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Lead the design, development, and implementation of comprehensive global transfer pricing strategies and policies.

Oversee preparation of transfer pricing documentation and compliance, including master files, local files, and country-by-country reports, across multiple jurisdictions and coordinate with local tax teams.

Draft and manage intercompany agreements.

Support transfer pricing aspects of business initiatives.

Evaluate APAs and oversee transfer pricing-related audits.

Build and maintain transfer pricing models and economic analyses.

Manage relationships with external transfer pricing advisors and coordinate multi-jurisdictional projects.

Monitor global transfer pricing developments, OECD guidelines, and local country changes.

Collaborate with Finance, Legal, and Business Development teams on intercompany pricing strategies.

Drive automation and efficiency improvements in transfer pricing processes and documentation.

You might thrive in this role if you have:

12+ years of transfer pricing experience with significant  responsibilities and broad experience across all aspects of transfer pricing.

Degree in Economics, Finance, Tax, or related field; CPA, JD, or Master’s in Tax preferred.

Deep expertise in OECD transfer pricing guidelines and international tax regulations.

Strong quantitative and economic analysis skills.

Experience managing transfer pricing compliance in multiple jurisdictions.

Experience in managing and designing operational transfer pricing processes.

Cross-functional project management skills and ability to influence senior stakeholders.

Excellent written and verbal communication skills for technical documentation and presentations.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Project Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Project Management]]></skills>
    <expirationdate>2026-07-28T22:47:58.945Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Manager, Strategic Tax Operations]]></title>
    <date>2026-05-29T22:47:43.207Z</date>
    <referencenumber>cmpgih2oe03gcv2xqb2734a0t</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-manager-strategic-tax-operations-623bee98</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Tax team is evolving from a traditional compliance and provision function into a data-driven, AI-first operating model. We are building systems where complex tax work is structured, repeatable, scalable, and continuously improved through better data, workflows, and intelligent tooling.

This team sits at the intersection of tax technical expertise, operating model design, data systems, and AI-enabled operations. Our goal is to reduce manual work, reduce reliance on institutional knowledge, improve auditability, and create faster, higher-quality tax insights for the business.

About the Role

As a Senior Manager, Tax Operations, you will help build and scale the tax infrastructure supporting complex business tax operations, strategic transactions, and forecasting.

This is not a traditional provision or compliance role. Instead of primarily preparing returns or managing external advisors, you will help own and operationalize highly technical tax workstreams that are critical to the company’s growth and long-term scalability.

This role is designed for someone who can operate at the intersection of technical federal tax, transaction execution, partnership mechanics, forecasting, and scalable process design.

You will help build repeatable frameworks around areas such as consolidation rules, tax attributes, purchase accounting tax impacts, legal entity management, partnership capital account management, and multi-year tax forecasting. This role is ideal for a tax professional who wants to move beyond maintaining existing processes and instead help design the future operating model for complex tax operations.

This position is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will: Support M&amp;A tax integration workstreams, including post-close tax integration and related operational requirements.

Analyze and operationalize tax implications associated with acquisitions, restructurings, and other strategic business initiatives

Support federal tax infrastructure across consolidated rules, tax attributes, structural modeling, basis related considerations, and partnership taxations.

Build scalable workflows and controls around complex technical tax areas that historically rely on manual tracking or institutional knowledge

Develop and support multi-year tax forecasting and scenario modeling related to business changes and long-term planning needs.

Partner closely with Tax, Controllership, StratFin, and external advisors to ensure technical tax conclusions are translated into operational execution

Use AI tools, primarily OpenAI technologies, to accelerate research, documentation, workflow design, review processes, and technical analysis

Improve operational tracking systems, moving away from fragmented spreadsheet-based processes toward scalable and auditable frameworks

Identify inefficiencies and redesign workflows to improve accuracy, speed, scalability, and operational resilience

We’re looking for someone with:8+ years of experience in U.S. federal income tax, M&amp;A tax, partnership tax, or complex tax operations.

Strong technical understanding of:

Federal consolidated return rules

Tax attributes and limitation mechanics

M&amp;A and restructuring tax considerations

Partnership taxation and capital account mechanics

Structural tax modeling and operational tax infrastructure.

Familiarity with concepts such as:

Section 382

SRLY

NUBIG/NUBIL

Attribute utilization and tracking

Legal entity restructuring impacts.

Experience supporting M&amp;A transactions, restructuring projects, or post-close integration workstreams.

Demonstrated ability to improve processes, not just execute technical analysis.

Strong analytical and problem-solving skills with ability to reason through ambiguous technical tax issues.

Comfort operating in fast-moving environments where structure may not yet fully exist.

Ability to connect technical tax analysis with operational, compliance, forecasting, and reporting implications.

Strong communication skills with ability to explain technical tax concepts to non-tax stakeholders.

Comfort working outside traditional spreadsheet-heavy workflows toward scalable and system-based solutions.

Curiosity around AI and automation as core components of modern tax operations.

Builder mentality with interest in creating scalable systems and infrastructure rather than maintaining fragile manual processes.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, v]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-28T22:47:43.207Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Manager, Financial Reporting]]></title>
    <date>2026-05-29T22:47:26.541Z</date>
    <referencenumber>cmphxwyzf009onel507gq1lxz</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-manager-financial-reporting-1d5c776d</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI Finance ensures the organization’s financial integrity and scalability in pursuit of our mission. Our Financial Reporting team is central to delivering accurate, timely, and GAAP-compliant financial information to internal and external stakeholders. We focus on building robust, scalable reporting systems and processes to support rapid organizational growth and complexity.

About the Role

OpenAI is hiring a Senior Manager,  Financial Reporting to help build and run a best-in-class financial reporting engine in a technically complex, rapidly evolving, and high-growth environment. We are looking for a seasoned external reporting professional who pairs strong technical judgment with a roll-up-your-sleeves mindset - owning key reporting deliverables, driving rigorous tie-outs and disclosure quality, and converting ambiguity into audit-ready output. This role will collaborate closely with teams across Accounting, FP&amp;A, Tax, Legal, and Investor Relations to improve reporting processes, streamline data flows, and elevate how financial information is communicated across stakeholders.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Modernize reporting workflows through AI integration — Leverage ChatGPT, Codex, and proprietary AI tools to minimize manual effort and accelerate deep analysis, while maintaining the rigorous judgment and accountability required for high-quality, audit-ready outputs.

Own end-to-end financial statements and disclosures — Prepare GAAP financial statements, footnotes, and supporting schedules; maintain rollforwards, tie-outs, and internal consistency checks to ensure outputs are complete and audit-ready.

Drive audit readiness and execution — Partner with external auditors to manage day-to-day audit workflow (PBC coordination, support quality, issue resolution) and keep reporting on track with minimal rework.

Lead disciplined close-to-reporting tie-outs — Ensure reporting outputs reconcile to source records, variances are understood/documented, and key schedules are accurate, well-supported, and repeatable each cycle.

Partner cross-functionally to deliver high-quality reporting — Collaborate with Accounting, FP&amp;A, Tax, Legal, and Investor Relations to align inputs, resolve questions quickly, and streamline end-to-end reporting processes and data flows.

Translate complexity into clear narratives — Turn technical accounting conclusions, analyses, and audit feedback into crisp disclosures, memos, and leadership-ready summaries with strong written and verbal communication.

Improve scalability and reduce manual effort — Identify and implement process improvements, standard templates, and control points to simplify workflows, increase automation where possible, and raise the overall quality bar as the company grows.

You might thrive in this role if you have:

10+ years of progressive accounting experience (including 4+ in external reporting), with a strong track record owning GAAP financial statements/disclosures in dynamic and high-growth environments (Big 4 and public company experience preferred).

Hands-on experience with financial reporting and ERP systems (e.g., Workiva, Oracle), demonstrating the ability to automate and integrate data for accurate reporting.

Strong track record of successfully managing end-to-end reporting, consistently delivering accurate, audit-ready documentation.

Proven project management and communication skills, adept at simplifying and conveying complex financial information clearly to diverse stakeholders, including executives, boards, and investors.

Active CPA license and deep technical accounting knowledge, with proven expertise in researching standards, preparing technical memos, and managing complex accounting transactions.

Nice to have: 

Background working in late-stage startups or large tech companies, particularly those undergoing significant growth, transformation, or scale-up.

Experience working in investor relations or closely partnering with IR teams, managing investor inquiries, and preparing communications for stakeholders.

Exposure to high-visibility financial events, such as operational maturity initiatives, financing rounds, mergers, or acquisitions.

Genuine passion for innovation, with an interest in AI and mission-driven organizations, coupled with exceptional problem-solving capabilities and strategic thinking.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, an]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Flows]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Flows, ChatGPT, Codex, Oracle, Project Management]]></skills>
    <expirationdate>2026-07-28T22:47:26.541Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Manager, Export Controls]]></title>
    <date>2026-05-29T22:47:12.593Z</date>
    <referencenumber>cmpgih1gc0384v2xqvya70b5y</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-manager-export-controls-88e4b933</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Tax and Trade at OpenAI shapes business strategy by embedding critical tax, export control, customs, and cross-border considerations into how the company builds, sources, scales, and operates in support of the mission. We combine deep expertise with practical systems thinking to look around corners, identify emerging risks and opportunities early, and help teams make smarter decisions at the point where strategy becomes execution. Across procurement, hardware operations, manufacturing, logistics, finance, legal, supplier onboarding, and operator workflows, we build robust, scalable support services leveraging cutting-edge technology—including governed AI and automation—to make complex regulated work more durable, more efficient, and easier to scale.

About the Role

We’re hiring a Senior Manager, Export Controls to lead OpenAI’s export controls strategy and operating model. This is a senior role with broad scope across advanced computing, semiconductors, software, hardware, manufacturing, and high technology partnerships.

You will refine how OpenAI classifies controlled technology, software, and hardware, structures access-controlled environments, manages licensing and supplier commitments, and scales export-control operations in a way that supports the company’s pace of innovation. You will also shape how OpenAI applies AI and agentic workflows to policy-heavy operational work, building systems that make complex rules easier to navigate and easier to execute.

In this role, you will:

Refine the strategy and operating model for OpenAI’s export controls program across advanced computing, semiconductors, software, hardware, manufacturing, and high technology partnerships.

Own export classification and licensing strategy for controlled technical data, software, hardware, and research environments.

Lead the design and operation of compliant controlled environments and related governance processes.

Partner with Research and Infrastructure to support efficient researcher access while maintaining clear control boundaries.

Partner with technical teams to develop durable classification and control models.

Partner cross-functionally to translate policy into documented technical controls, logging, evidence, access boundaries, and exception handling.

Lead supplier-facing compliance processes, including onboarding requirements, certifications, and relevant contractual controls.

Build and administer Technology Control Plan processes, including briefings, acknowledgements, operating materials, completion tracking, and escalation paths.

Develop service levels, metrics, and reporting that improve access velocity, supplier onboarding, and decision quality.

Build internal tooling and an AI- and agent-enabled operating model.

You might thrive in this role if you: 

A Bachelor’s degree or equivalent practical experience in engineering, computer science, physics, international trade, law, public policy, or a related field. Advanced technical, legal, or policy training is valuable.

Significant experience leading export controls, trade compliance, or a closely related function in advanced computing, semiconductors, electronics, or other high-technology domains.

Deep expertise in export controls, including classification, licensing, deemed exports, end-use and end-user restrictions, and controls on technical data and software.

Direct experience working on advanced computing and advanced semiconductor controls.

Strong leadership judgment and a track record of building and scaling programs in fast-moving technology companies and complex multinational environments.

Experience translating policy into workflows, systems requirements, service levels, operating guidance, and measurable business outcomes.

The ability to work credibly with researchers, infrastructure engineers, hardware engineers, chip-design teams, Security, and Legal.

Experience managing service providers, and cross-functional programs that require speed, discretion, and strong execution.

Strong writing and communication skills, with the ability to turn complex requirements into clear process documentation and guidance for technical and business audiences.

Experience building AI-enabled workflows, internal tools, knowledge systems, or agentic processes for policy-heavy or operational work.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, se]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Logistics]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Logistics]]></skills>
    <expirationdate>2026-07-28T22:47:12.593Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[IT Controls Data Engineer]]></title>
    <date>2026-05-29T22:08:23.853Z</date>
    <referencenumber>cmprxzv4b009ud4eeborl4n3x</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/it-controls-data-engineer-0ecff37c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The IT and Security organization builds the systems, data foundations, and automation that help OpenAI operate securely and reliably at scale. We support critical domains across identity, access, infrastructure security, enterprise systems, and internal productivity.

As OpenAI grows, audit readiness and control assurance increasingly depend on reliable data: accurate system inventories, access populations, change records, configuration state, exception signals, and evidence generated directly from source systems. Our goal is to move beyond manual evidence collection and build scalable data products, automated validation, and continuous control monitoring that make security and IT controls measurable, repeatable, and defensible.

About the Role

We are looking for an IT Controls Data Engineer to build the data infrastructure that powers audit readiness, IT controls, evidence automation, and continuous control monitoring.

In this role, you will design and maintain the pipelines, datasets, models, validation logic, dashboards, and evidence exports that make IT controls measurable, repeatable, and defensible. You will work across Security, IT, Infrastructure, Engineering, Finance Risk Management, and auditors to turn complex system behavior into reliable control data products.

This is a technical builder role. The ideal candidate is strong in data engineering and analytics engineering, comfortable working with enterprise and security system data, and able to explain data lineage, source-system behavior, and control logic clearly to technical and audit stakeholders.

You’ll be responsible for

Building reliable data pipelines, models, and datasets for IT controls, including access, identity, configuration, change, ticketing, exception, and evidence data.

Creating data quality, lineage, reconciliation, and completeness checks that make control data defensible for SOX and other audit use cases.

Designing automated evidence generation workflows that produce complete, accurate, and repeatable audit populations, exports, dashboards, and control artifacts.

Developing control monitoring logic to detect drift, missing evidence, stale access, direct system changes, overdue activity, and other control exceptions.

Partnering with Security, IT, Infrastructure, Engineering, Risk Management, and system owners to understand source systems, validate data, and improve automation reliability.

Translating technical system behavior, data flows, access models, and validation results into clear explanations for auditors, control owners, and technical stakeholders.

We’re looking for someone with

Strong data engineering, analytics engineering, or software/data systems experience, including building reliable datasets, pipelines, queries, dashboards, or automated reporting workflows.

Hands-on SQL experience and proficiency with at least one scripting or programming language such as Python.

Experience working with enterprise system data, such as identity platforms, HR systems, ticketing systems, cloud environments, source control systems, SaaS applications, or audit/compliance tooling.

Strong understanding of data modeling, lineage, completeness, accuracy, reconciliation, validation, observability, and repeatability.

Ability to reason through messy source-system data, inconsistent identifiers, nested groups, stale records, missing owners, direct assignments, and downstream application drift.

Experience supporting security, IT controls, SOX, audit readiness, risk, compliance, or regulated technology environments.

Ability to explain technical systems, data flows, and control logic clearly to both engineering and audit stakeholders.

Strong ownership, judgment, and attention to detail in high-stakes, time-sensitive environments.

Nice to have:

Experience with Entra ID, Workday, GitHub, Databricks, Salesforce, or similar platforms.

Experience with cloud infrastructure environments such as Azure, AWS, or GCP.

You might thrive in this role if:

You like turning messy operational processes into clean, repeatable systems.

You enjoy working at the intersection of data, controls, engineering, and audit.

You can go deep technically, but also explain your work clearly to auditors and executives.

You care about evidence quality, data integrity, and defensible documentation.

You are energized by building automation that reduces manual effort and improves control reliability.

You can partner with engineers without slowing them down, while still maintaining a strong control standard.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Flows]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Flows, SQL, Python, Cloud, Workday, GitHub, Databricks, Salesforce, Azure, AWS, GCP]]></skills>
    <expirationdate>2026-07-28T22:08:23.853Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Corporate Security Operations Manager, London]]></title>
    <date>2026-05-29T21:38:19.218Z</date>
    <referencenumber>cmpry00oi00cgd4ee6xnq6rbp</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/corporate-security-operations-manager-london-6908c108</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[About the Team

We’re hiring a London based Security Operations Manager to lead day-to-day corporate and physical security operations for OpenAI’s London office, with a focus on the UK operating environment.

About the Role

This is a hands-on, high trust role in a confidential technology environment, responsible for ensuring a safe workplace experience while maintaining discreet, professional security standards. You’ll work closely with employees, cross-functional partners, building management, and external vendors, and will directly manage local security vendors and guard services. The role reports to the EMEA Security Manager.

You’ll be responsible for:

Operationalize the London office physical security program, including access control, visitor management, contractor access, incident response, and office security operations.

Manage security vendors and the contract guard force, including post orders, performance, coverage, KPIs / SLAs, and continuous improvement.

Partner closely with Workplace / Facilities, HR, IT / InfoSec, Legal, EHS, GSOC, and office leadership to implement sensible, employee-friendly security controls.

Lead local incident response and follow-through, including documentation, after-action reviews, and corrective actions.

Support security planning for in-office events, leadership visits, and business travel into / out of London as needed.

Drive emergency preparedness, including evacuation / muster processes, tabletop exercises, and drills in coordination with Workplace.

We’re looking for someone with:

8+ years in corporate security, protective services, law enforcement, military, or a related field with increasing responsibility.

Demonstrated experience running office-based physical security in a modern corporate environment; technology experience is a plus.

Proven ability to manage vendors and guard force operations with measurable outcomes across quality, consistency, service, and cost stewardship.

Strong incident leadership skills, calm judgment under pressure, and high discretion.

Excellent stakeholder management, with the ability to influence without friction and handle sensitive employee situations appropriately.

Business-level English, spoken and written, for global collaboration, reporting, and executive-ready communication.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-28T21:38:19.218Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Customer Solution Architect Team Lead (AMER)]]></title>
    <date>2026-05-29T19:56:24.832Z</date>
    <referencenumber>cmpry03s500cqd4eefzm2ai5m</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/customer-solution-architect-team-lead-amer-0257624c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

We’re seeking a Customer Solution Architect Team Lead to captain a high-performing team of Customer Solutions Architects and help drive the adoption of Supabase across a diverse range of customers: from agile startups building towards their first launch to established brands with highly scaled workloads. This role will support the East Coast region across the Americas.

As the CSA Team Lead, you will be responsible for both people management and customer outcomes - supporting team execution while developing repeatable best practices across pre-sales discovery, proof-of-value onboarding, and technical success.

What You’ll DoAt Supabase, CSA Leads oversee a portfolio of high-value customers by empowering their team to deliver technical excellence and long-term customer success. You'll work directly with the team to:

Hire, coach, and grow a global team of CSAs who serve as trusted technical advisors to our customers.

Collaborate with Sales, Product, and Engineering to define and scale the CSA motion across the full customer journey—from discovery through adoption and renewal.

Create structured onboarding, training, and development plans for CSAs to level up in technical storytelling, Postgres optimization, and customer success strategy.

Ensure CSAs consistently deliver successful outcomes, unblock adoption, and drive value for paid Team and Enterprise accounts.

Work directly with strategic customers when needed—especially during complex escalations, architectural deep dives, or critical onboarding milestones.

You'll be joining our team to support Supabase Team &amp; Enterprise customers, where you will be expected to lead and innovate around the following areas of responsibility:

Pre-Sales Discovery:Lead and review technical discovery led by CSAs to uncover business and technical objectives, set appropriate expectations of the Supabase platform, and define the criteria for success.

Guide CSAs in designing and presenting platform demonstrations tailored to high-value customers, helping them clearly articulate the value of the Supabase platform and team.

Collaborate with Growth team members to size deals, provide anticipated usage estimates, and identify potential workloads supported by the Platform.

Proof-of-Value OnboardingSupport your team in defining and executing proof-of-value scopes that balance business outcomes with low-friction onboarding.

Ensure CSA-owned timelines, success criteria, and engagement tactics result in a high proof-to-conversion success rate.

Build reusable onboarding flows (email sequences, docs, templates, webinars) that accelerate time-to-value for new customers.

Customer Success &amp; ExpansionHelp your team build detailed account plans focused on both short-term adoption and long-term expansion opportunities.

Provide ongoing technical coaching for CSAs conducting architecture reviews, schema design evaluations, and performance tuning for production workloads.

Partner cross-functionally to advocate for customer feedback, share emerging customer needs with Product &amp; Eng, and communicate roadmap milestones back to customers.

Trust &amp; Platform AdvocacyCoach CSAs to act as internal and external champions of Supabase, building trust with customers through consistency, clarity, and deep product expertise.

Uphold a standard of excellence in customer engagement, ensuring Supabase becomes embedded in the way our customers build.

Preferred Experience6+ years of experience in Solutions Architecture, Technical Account Management, or Database Engineering.

2+ years of people management or team leadership experience, ideally in a high-growth, technical startup environment.

Strong background with relational databases (PostgreSQL preferred), with a deep understanding of schema design, indexing, and query performance.

Hands-on experience building modern web applications using frameworks like React, Svelte, Vue, or Node.js.

Clear, confident technical communicator and storyteller. Must be able to distill complex technical topics into actionable outcomes for customers and team members alike.

Experience navigating stakeholder alignment, conflict resolution, and collaborative problem-solving across teams.

Familiarity with tools such as HubSpot, BigQuery, and internal BI dashboards.

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—la]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Vector Search, Flows, PostgreSQL, React, Node.js]]></skills>
    <expirationdate>2026-07-28T19:56:24.832Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Deliverability Engineer, Core Sending]]></title>
    <date>2026-05-29T17:23:20.544Z</date>
    <referencenumber>cmpry020z00cmd4eeu1za3d66</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/deliverability-engineer-core-sending-df117492</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Americas / Remote / Full-time]]></city>
    <country>ES</country>
    <description><![CDATA[Resend is growing fast, and there are now over 2 million developers using it. As the Core Sending Squad, we are responsible for building and maintaining the core components of Resend that handle sending transactional and marketing emails.

This role is fully remote-based in Americas time zones, with some expected travel for team off-sites, conferences, meetups, and more.

Read more about how we work, how we hire, and what we value here.

You will be a great fit if you...Have experience in email deliverability, reputation, mail operations, anti-abuse, or high-volume email systems

Understand IP reputation, domain reputation, authentication, bounces, complaints, suppressions, and warmup

Know how major mailbox providers behave and how to diagnose provider-specific delivery issues

Can turn ambiguous deliverability judgment into metrics, policies, runbooks, dashboards, and systems

Communicate clearly with engineering, support, product, customers

Have low ego, strong judgment, and high ownership

You will be an exceptional fit if you also...Have operated shared and dedicated IP pools

Have designed or managed IP warmup programs

Have recovered from provider blocks, spam-foldering issues, complaint spikes, deferral spikes, or blocklist events

Have experience with Google Postmaster Tools, Microsoft SNDS/JMRP, Yahoo Sender Hub, feedback loops, or blocklist monitoring

Understand DKIM, SPF, DMARC, PTR, TLS, DSNs, List-Unsubscribe, suppression, and bounce classification

Understand IP reputation, domain reputation, authentication, bounces, complaints, suppressions, and warmup

Have partnered with Trust &amp; Safety, anti-abuse, support, or customer-facing teams

Have helped build deliverability dashboards, reputation scoring, traffic segmentation, or automated enforcement systems

Have experience helping engineering teams turn deliverability knowledge into product and infrastructure

What it means to join the team:Autonomy to "just ship it"

100% remote team with flexible working schedules

Modern tech stack (AWS, Next.js, Raycast, Notion, etc.)

Honest and low-ego team

Ownership of problems and solutions

Comp: $150,000 - $180,000 USD, commensurate with experience

About ResendWe are building the modern email sending platform for developers. We care deeply about quality, craft, and the developer experience.

Our fully remote team of 45 spans 13 countries and counting. We're backed by a16z, Y Combinator, and others. Meet the humans →]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[TLS]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[TLS, AWS, Next.js, Notion]]></skills>
    <expirationdate>2026-07-28T17:23:20.544Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Manager, Production - Brazil]]></title>
    <date>2026-05-29T17:20:41.974Z</date>
    <referencenumber>cmprxzk5x009md4eemu48e7v3</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/manager-production-brazil-a694a6f8</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[São Paulo]]></city>
    <country>BR</country>
    <description><![CDATA[Spotify’s Marketing team in Latin America helps shape how Spotify shows up across the region through culture, creativity, and storytelling. We create work that feels authentic, locally relevant, and connected to the artists, creators, and fans who make Spotify unique.

Based in São Paulo, and working closely with teams across Latin America, this role will lead production for brand initiatives in Mexico, ensuring creative ideas are delivered with excellence from concept through execution. You’ll combine strong creative judgment with operational expertise to bring impactful work to life while balancing quality, timelines, and budgets.

What You'll Do

Lead end-to-end production for Spotify’s brand and marketing initiatives in Brazil, from initial scoping and planning through final delivery.
Oversee production across multiple formats, including video, photography, live experiences, events, digital content, and on-platform activations.
Partner closely with Marketing and Creative teams to translate briefs into clear production plans, timelines, budgets, and deliverables.
Create structure around project intake, prioritization, and resource planning to help teams focus on the highest-impact work.
Build and manage relationships with production companies, creative vendors, directors, artists, designers, and other external partners.
Identify culturally relevant collaborators who help elevate Spotify’s creative work and strengthen local market relevance.
Guide talent and partner selection by balancing creative ambition, operational excellence, scalability, and budget considerations.
Own production budgets, schedules, contracts, estimates, and project tracking, ensuring projects are delivered on brief, on budget, and on time.
Establish and continuously improve production workflows, quality standards, and delivery processes for the Mexico market.
Proactively identify risks, solve problems early, and make thoughtful trade-offs when timelines, scope, and budget priorities compete.

Who You Are
You have significant experience leading creative production within brand marketing, entertainment, music, media, or cultural marketing environments.
You know how to manage complex creative productions from planning through execution while maintaining high-quality standards.
You are experienced in overseeing budgets, contracts, production schedules, project plans, and vendor relationships.
You have a strong understanding of creative development processes and can effectively partner with both creative and business stakeholders.
You care about delivering inclusive, culturally relevant work that resonates with local audiences.
You communicate clearly, build trust quickly, and create alignment across cross-functional teams and external partners.
You have a track record of managing multiple priorities while maintaining attention to detail and delivering results.
You exercise sound judgment, stay calm under pressure, and adapt effectively when priorities change

Where You'll Be
This role is based in São Paulo, Brazil.
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in at least 2-3 times per week.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-28T17:20:41.974Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Developer Marketing Lead, APAC]]></title>
    <date>2026-05-29T17:02:10.847Z</date>
    <referencenumber>cmpry00or00cid4ee85fhryiu</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/developer-marketing-lead-apac-3f3fcbd7</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About OpenAI

OpenAI is an AI research and deployment company committed to ensuring that artificial general intelligence benefits all of humanity. We push the boundaries of AI capabilities while prioritizing safety, responsible deployment, and human needs. Our mission requires a team that represents a diversity of perspectives, voices, and experiences.

About the Role

We are seeking an experienced APAC Developer Marketing Lead to build OpenAI's regional strategy for developer audiences across Asia-Pacific. This is a senior role for a marketer who understands technical audiences, can translate global developer priorities into regionally effective programs, and knows how to earn builder trust through useful education, credible storytelling, strong launches, and high-quality ecosystem activation.

The role will prioritize developers while supporting startup marketing where builder and founder ecosystems naturally overlap. That includes technical founders, startup builders, founder-developer communities, startup ecosystem moments, and programs that help high-potential startups discover and build on OpenAI. The ideal candidate brings strong developer marketing experience, regional judgment, and the ability to partner closely with Developer Relations, Product Marketing, Product, Growth, Startups, Partnerships, Content, Events, and regional marketing teams.

Key Responsibilities

Lead APAC developer marketing strategy across priority markets, audiences, channels, and product moments.

Build programs that improve developer awareness, education, product understanding, adoption, and advocacy.

Translate global developer launches and narratives into regionally resonant activation plans.

Partner with Developer Relations and technical stakeholders to ensure programs are credible, useful, and grounded in builder needs.

Develop repeatable regional plays across content, technical education, developer events, hackathons, builder workshops, community moments, ecosystem partnerships, and builder stories.

Support startup marketing initiatives where startup and developer audiences overlap, including technical founders, startup builders, startup ecosystem moments, founder-led proof points, and programs that create adoption with early-stage builders, while keeping the core mandate centered on developers.

Establish clear operating rhythms, prioritization, measurement, and feedback loops with global and regional partners.

Bring APAC developer insight, market nuance, and ecosystem opportunities into global planning.

Qualifications

10+ years of experience in developer marketing, technical marketing, product marketing for developer products, community-led technology marketing, or integrated marketing for technical platforms.

Proven track record building credible marketing programs for developer audiences.

Experience leading regional or multi-market programs across launches, education, content, events, community, and ecosystem channels.

Strong cross-functional experience with Developer Relations, Product, Product Marketing, Growth, Startups, Partnerships, and regional marketing stakeholders.

Ability to work across strategic planning and hands-on execution in fast-moving, ambiguous environments.

Strong communication, prioritization, and stakeholder management skills.

Clear understanding of how developer trust, technical usefulness, and product adoption connect.

Nice to Have

Experience with AI, APIs, developer platforms, cloud tooling, or applied AI ecosystems.

Familiarity with APAC developer communities, technical events, startup ecosystems, accelerators, investors, and founder-builder channels.

Experience working across developer and startup audience overlap, including builder programs, founder storytelling, or startup ecosystem activations.

OpenAI is an equal opportunity employer and we value thoughtful builders who bring curiosity, rigor, and care to complex work. If you are excited to help developers across APAC discover, learn, and build with OpenAI, we would love to hear from you.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be adm]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[APIs]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[APIs, Cloud]]></skills>
    <expirationdate>2026-07-28T17:02:10.847Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Partner Marketing Lead, APAC]]></title>
    <date>2026-05-29T17:01:15.989Z</date>
    <referencenumber>cmpry00m800bud4eemn6vjwdq</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/partner-marketing-lead-apac-29522402</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About OpenAI

OpenAI is an AI research and deployment company committed to ensuring that artificial general intelligence benefits all of humanity. We push the boundaries of AI capabilities while prioritizing safety, responsible deployment, and human needs. Our mission requires a team that represents a diversity of perspectives, voices, and experiences.

About the Role

We are seeking an experienced APAC Partner Marketing Lead to build OpenAI's regional marketing strategy with priority strategic and ecosystem partners across Asia-Pacific. This is a senior marketing role focused on joint narratives, co-marketing programs, partner-led education, regional moments, and integrated activations with important technology partners.

The role works closely with Partnerships, partner-side marketing teams, and regional and global marketing stakeholders to turn strategic relationships into credible, high-quality programs for enterprise, developer, and startup audiences. It is not a commercial partnerships role; success depends on strong marketing judgment, alliance fluency, and the ability to align complex stakeholders around programs that create audience value and regional leverage.

Key Responsibilities

Lead APAC partner marketing strategy for priority strategic technology, platform, and ecosystem partners.

Build joint marketing plans across narratives, campaigns, events, education, customer proof, and regional activations.

Partner closely with APAC and global Partnerships teams while owning marketing prioritization, program design, and execution quality.

Coordinate with B2B, Developer, Startup, Content, Events, Product Marketing, Comms, and Country Marketing teams to activate the right audiences and channels.

Develop scalable partner marketing playbooks, planning rhythms, briefs, review processes, and measurement frameworks.

Represent APAC market needs and partner opportunities in global partner marketing planning.

Manage partner-side and internal stakeholders with clarity around roles, decisions, approvals, timelines, and outcomes.

Use program performance, partner feedback, and regional insight to refine the partner marketing roadmap over time.

Qualifications

10+ years of experience in partner marketing, alliance marketing, ecosystem marketing, integrated B2B marketing, or a related discipline in technology.

Proven track record building co-marketing programs with major technology, cloud, platform, or ecosystem partners.

Strong understanding of how strategic partnerships translate into audience narratives, programs, channels, and measurable marketing outcomes.

Experience influencing across companies, functions, cultures, and senior stakeholder groups.

Demonstrated ability to operate strategically and execute pragmatically in fast-moving, ambiguous environments.

Strong cross-functional experience with Partnerships, Product Marketing, Sales or GTM, Content, Events, Comms, and regional marketing teams.

Excellent communication, prioritization, and stakeholder management skills.

Nice to Have

Experience with AI, cloud platforms, developer ecosystems, startup ecosystems, or enterprise technology.

Familiarity with APAC markets and partner ecosystems.

Experience working with AWS or similarly scaled strategic partners.

OpenAI is an equal opportunity employer and we value thoughtful builders who bring curiosity, rigor, and care to complex work. If you are excited to help shape how OpenAI works with strategic technology ecosystems across APAC, we would love to hear from you.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud, AWS]]></skills>
    <expirationdate>2026-07-28T17:01:15.989Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Backend Engineer (MTA), Core Sending]]></title>
    <date>2026-05-29T17:01:00.171Z</date>
    <referencenumber>cmpry020p00ckd4ee403f88bm</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/backend-engineer-mta-core-sending-282120a2</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Americas / Remote / Full-time]]></city>
    <country>ES</country>
    <description><![CDATA[Resend is growing fast, and there are now over 2 million developers using it. As the Core Sending Squad, we are responsible for building and maintaining the core components of Resend that handle sending transactional and marketing emails.

This role is fully remote-based in Americas or European time zones, with some expected travel for team off-sites, conferences, meetups, and more.

Read more about how we work, how we hire, and what we value here.

In this role, you will…Build and operate Resend’s email transport infrastructure

Work on SMTP delivery, MTA systems, routing, retries, backoff strategies, and delivery controls

Design systems for domain-level, provider-level, customer-level, and IP-level throttling

Build infrastructure for shared IP pools, dedicated IPs, warmup execution, and reputation-aware routing

Improve how Resend classifies bounces, deferrals, transient failures, hard failures, and delivery outcomes

Build tools that help the team debug delivery issues by customer, domain, mailbox provider, route, IP, message type, and event

Help design systems that make sending behavior safer, more observable, and easier to operate

Translate reputation strategy into backend systems

Partner with Trust &amp; Safety to build controls that protect Resend’s sending network from abuse

Participate in incident response for sending, provider, and deliverability-sensitive issues

Be on-call for critical services

You will be a great fit if you...Have strong backend engineering experience

Have worked on email, messaging, notifications, communications, infrastructure, or other high-volume delivery systems

Understand queues, workers, retries, idempotency, rate limits, backpressure, and distributed systems

Have experience or strong interest in SMTP, MTAs, DNS, bounces, deferrals, DNS, IP pools, and mailbox-provider behavior

Care about reliability, observability, operational excellence, and reducing blast radius

Have low ego, high ownership, and strong taste for simple systems

You will be an exceptional fit if you also...Have experience working on applications with a high workload

Know about email best practices, or are willing to learn more about this space

Are experienced in Typescript and Golang

What it means to join the team:Autonomy to "just ship it"

100% remote team with flexible working schedules

Modern tech stack (Typescript, AWS, Go, Postgres, Datadog)

Honest and low-ego team

Ownership of problems and solutions

Comp: $150,000 - $170,000 USD, commensurate with experience

About ResendWe are building the modern email sending platform for developers. We care deeply about quality, craft, and the developer experience.

Our fully remote team of 45 spans 13 countries and counting. We're backed by a16z, Y Combinator, and others. Meet the humans →]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Distributed Systems]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Distributed Systems, DNS, TypeScript, AWS, Postgres, Datadog]]></skills>
    <expirationdate>2026-07-28T17:01:00.171Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Associate General Counsel, India]]></title>
    <date>2026-05-29T16:54:55.025Z</date>
    <referencenumber>cmpry000900aad4ee9jtmsbyu</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/associate-general-counsel-india-800c9f49</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Delhi]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, competition, corporate, employment, tax law, regulatory, and litigation.

About the Role

We’re seeking an Associate General Counsel to help navigate the increasing AI legislative and regulatory landscape in India. We’re looking for a legal self-starter, who is comfortable jumping into a deep dive of laws applicable to AI, as well as a broad range of AI regulatory issues that will help shape AI policy going forward and for which there is little precedent. This role reports to our Head of Legal, APAC.

This role is based in Delhi or Mumbai.

In this role, you will:

Analyze laws and regulations in India concerning AI to understand their impact on OpenAI and the broader AI community.

Develop policy positions on frontier legislation, pending legislation and international standards.

Partner with Global Affairs team on regulatory strategy and engagement.

Manage Indian regulatory compliance matters.

Collaborate with Product Legal teams to support the availability, growth, and responsible deployment of OpenAI’s products and services in India. 

Contribute to our ongoing improvements to AI governance as regulations come into force.

Monitor and keep the broader legal team updated on emerging legislative and regulatory developments related to AI in the APAC region.

You might thrive in this role if you have:

12+ years of legal and/or policy experience.

Strong leadership and ability to influence.

Combination of an in-house company, government/institution, or law firm experience.

Strong background in technology laws.

Experience and familiarity with AI or a demonstrated interest in AI laws and regulations.

Create clear and concise written and verbal communication, distilling complex concepts into simple, explainable, and persuasive ideas.

Experience analyzing complex legislation.

Experience engaging with regulators and/or policymakers.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-28T16:54:55.025Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Technical Advisor, National Security Policy, Global Affairs]]></title>
    <date>2026-05-29T16:50:23.248Z</date>
    <referencenumber>cmpw8bjuy003ij87t28lzeay8</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-technical-advisor-national-security-policy-global-affairs-1492e2cd</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Washington]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. We believe that achieving this goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly, our Global Affairs team builds authentic, collaborative relationships with public officials, technical experts, civil society, and the broader AI policymaking community. We ensure that insights from policymakers and external stakeholders inform our work and, in collaboration with colleagues across OpenAI, seek to shape policy so that it aligns with and supports our mission.

About the Role

This position reports to OpenAI’s Head of National Security Policy and will serve as a senior individual contributor at the intersection of national security policy, AI safety, and technical AI governance. This person will help OpenAI anticipate and navigate high-stakes policy questions related to increasingly capable AI systems, especially where technical, safety, national security, and societal considerations intersect.

A core requirement for this role is established trust and credibility within the AI safety, research, and governance communities. Technical fluency and national security experience are also a significant plus.

(Washington, DC or San Francisco preferred; other U.S. locations considered)

Key responsibilities include:

Serve as a senior technical-policy advisor to the National Security Policy team on frontier AI safety and governance issues, including CBRN, cyber, autonomous agents, automated AI R&amp;D, evaluations, risk thresholds, and societal resilience.

Act as a cross-functional connector between National Security Policy and internal teams including Safety Systems, Preparedness, Alignment, Research, Security, Legal, and Product Policy.

Drive OpenAI’s engagement with national AI institutes, the Frontier Model Forum, third-party evaluators, research organizations, and other technical governance bodies.

Develop proactive policy strategies that help governments and other institutions prepare for and react to increasingly capable AI systems, including responsible national security adoption, defensive acceleration, democratic oversight, and societal resilience.

Represent OpenAI externally with sound judgment, integrity, and credibility in sensitive engagements with policymakers, technical experts, civil society, and national security stakeholders.

Translate technical realities into clear policy products, including memos, briefs, talking points, government responses, strategy documents, and internal decision materials.

Build and sustain trusted relationships with AI safety researchers, technical policy experts, think tanks, standards bodies, civil society organizations, and current or former government officials.

Help OpenAI identify emerging technical-policy opportunities, pressure-test novel ideas, and determine which initiatives are most important to advance the mission.

You should thrive in this role if you:

Have a strong network in the AI research, safety, and governance communities.

Have solid technical judgment (no need to be a technical researcher) and can reason rigorously about model capabilities, evaluations, threat models, mitigations, and the limits of current evidence.

Are politically astute, with sound judgment about how to navigate sensitive internal and external environments.

Are an excellent writer and communicator who can help senior leaders make decisions under uncertainty.

Are a creative frontier AI policy thinker who can identify, develop, and evaluate new strategic approaches as the policy environment evolves.

Enjoy coordinating complex work across many stakeholders and can operate effectively in fast-moving, ambiguous settings.

Feel the AGI and care deeply about OpenAI’s mission, ensuring AGI benefits all of humanity.

We’re looking for a blend of:

5+ years of experience in frontier AI policy, AI safety, technical AI governance, or a closely related field.

Demonstrated credibility in the AI safety or frontier AI governance fields.

Familiarity with frontier AI risk management issues, including areas such as risk taxonomies, evaluations, model access, CBRN, cyber, recursive self-improvement, and AI safety standards.

Experience working with senior internal or external stakeholders on sensitive policy or technology issues.

Excellent communication, presentation, and interpersonal skills, with the ability to convey complex technical and policy concepts to diverse audiences.

Sound judgment, outstanding personal integrity, and the ability to represent OpenAI responsibly in high-trust external settings.

Strong strategic thinking, problem-solving, and project management skills.

Track record of effectively working with cross-functional teams and aligning a diverse range of internal and external partners.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose arti]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[React]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[React, Project Management]]></skills>
    <expirationdate>2026-07-28T16:50:23.248Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Backend Engineer (Infra), Core Sending]]></title>
    <date>2026-05-29T16:50:07.309Z</date>
    <referencenumber>cmpry021800cod4ee8g63ua8f</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/backend-engineer-infra-core-sending-2021ff3c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Europe / Remote / Full-time]]></city>
    <country>ES</country>
    <description><![CDATA[Resend is growing fast, and there are now over 2 million developers using it. As the Core Sending Squad, we are responsible for building and maintaining the core components of Resend that handle sending transactional and marketing emails.

This role is fully remote-based in Americas or European time zones, with some expected travel for team off-sites, conferences, meetups, and more.

Read more about how we work, how we hire, and what we value here.

In this role, you will…Help define the architecture to support millions of daily API requests

Build and scale infrastructure to send dozens of millions of emails per day

Improve high availability across distributed applications

Scale databases like Postgres and Clickhouse to ensure that they are performant

Enhance observability by using monitoring tools like Datadog

Refine disaster recovery plans to ensure that recovery is quick and reliable

Help to build our infrastructure with IaC frameworks like CDK and TF

Work with Typescript and Golang

Design and operate async pipelines (queues, streams, idempotency, retries, DLQs) that move tens of millions of messages per day

Be on-call rotation (for critical services)

You will be a great fit if you...8+ years of back-end engineering with a focus on cloud infrastructure

Are fluent in writing and speaking English

Thrive in open-ended problems and situations

Have supported large workloads on AWS

You love helping other developers

“Default to action” kind of person

Hands-on on solving problems

Experience with event-driven systems at scale. Kafka, SQS/SNS, or similar.

Low ego

You will be an exceptional fit if you also...Have experience working on applications with a high workload

Know about email best practices, or are willing to learn more about this space

Are experienced in Typescript and Golang

What it means to join the team:Autonomy to "just ship it"

100% remote team with flexible working schedules

Modern tech stack

Honest and low-ego team

Ownership of problems and solutions

Comp: $150,000 - $170,000 USD, commensurate with experience

About ResendWe are building the modern email sending platform for developers. We care deeply about quality, craft, and the developer experience.

Our fully remote team of 45 spans 13 countries and counting. We're backed by a16z, Y Combinator, and others. Meet the humans →]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Datadog, TypeScript, Cloud, AWS, Kafka]]></skills>
    <expirationdate>2026-07-28T16:50:07.309Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[RE/RS, Data Understanding (MM)]]></title>
    <date>2026-05-29T16:16:18.047Z</date>
    <referencenumber>cmprxzvs8009yd4eessaakxxy</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/re-rs-data-understanding-mm-79f27563</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About The Team

The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing multimodal data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs.

About The Role

We’re looking to advance how OpenAI prepares, curates, synthesizes and understands multimodal data at scale. You’ll work on research and production problems like synthesizing multimodal content (images, audio, and video) and their supervisions, improving noisy data pipelines, building better quality filters, using models to automate data prep, and measuring whether changes in the dataset improve model performance.

We Expect You To

Have a strong track record of new or improved ML ideas, through publications, projects, or applied research.

Own and drive a research agenda, from choosing the right multimodal data problems to carrying long-running work through to impact.

Be excited by OpenAI’s empirical, collaborative approach to research.

Nice To Have

Experience with multimodal learning, audio, vision, video, synthetic data, or data-centric ML.

Thoughtfulness about AI’s impact, including privacy, provenance, and data quality.

Experience building high-performance deep learning or large-scale data processing systems.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-28T16:16:18.047Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Staff Finance Systems Engineer]]></title>
    <date>2026-05-29T16:09:51.941Z</date>
    <referencenumber>cmpry054j00d8d4eehwwzogiy</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-staff-finance-systems-engineeer-37a02809</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the roleWe’re looking for our first Finance Systems Engineer to support and evolve our Accounting, Billing, and Finance tools to support a fast-growing business. In this role, you will focus on ensuring that our environment supports scalable, accurate, and efficient financial processes across Order to Cash and Record to Report.

You'll be a team of one initially, and in the future, the most technically sophisticated member of the Finance Systems team: the one who sets the standards, solves the hardest problems, and makes everyone around you faster and better without stepping out of the code yourself.

What you’ll doOwn the technical architecture of Cursor’s finance systems

Lead and execute the most complex, ambiguous implementations across Finance systems, initially starting in Order to Cash

Partner with Sales, Finance, Legal, and RevOps to translate messy commercial requirements into clean, scalable technical solutions

Champion AI-forward automation in how Finance systems are built and operated

Build with a strong balance of code and configuration, knowing when each is the right tool and why

You may be a fit ifYou've owned complex Finance Systems environments and integrations as a hands on developer

You've implemented or fully owned an ERP or major components of one end-to-end and can speak to what broke and what you'd do differently

You've worked at pre-IPO companies through periods of real growth, you know what adversity looks like and you stayed through it

You have strong opinions about developer tooling, CI/CD, and how to maintain velocity with safety

You mentor by doing, pairing, building together, raising the team's technical ceiling through proximity, not PowerPoint

You're energized by ambiguity, move fast by default, and are burned by orgs where shipping takes a quarter

Years of hands-on experience matter to you more than certifications, and to us too]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cursor, CI/CD, PowerPoint, NetSuite, Stripe, SQL]]></skills>
    <expirationdate>2026-07-28T16:09:51.941Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Manager, Production - Mexico]]></title>
    <date>2026-05-29T15:57:20.353Z</date>
    <referencenumber>cmprxzk6k009od4eev5jjchkl</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/manager-production-mexico-60a2d2c8</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Mexico City]]></city>
    <country>MX</country>
    <description><![CDATA[Spotify’s Marketing team in Latin America helps shape how Spotify shows up across the region through culture, creativity, and storytelling. We create work that feels authentic, locally relevant, and connected to the artists, creators, and fans who make Spotify unique.

Based in Mexico City and working closely with teams across Latin America, this role will lead production for brand initiatives in Mexico, ensuring creative ideas are delivered with excellence from concept through execution. You’ll combine strong creative judgment with operational expertise to bring impactful work to life while balancing quality, timelines, and budgets.

What You'll Do

Lead end-to-end production for Spotify’s brand and marketing initiatives in Mexico, from initial scoping and planning through final delivery.
Oversee production across multiple formats, including video, photography, live experiences, events, digital content, and on-platform activations.
Partner closely with Marketing and Creative teams to translate briefs into clear production plans, timelines, budgets, and deliverables.
Create structure around project intake, prioritization, and resource planning to help teams focus on the highest-impact work.
Build and manage relationships with production companies, creative vendors, directors, artists, designers, and other external partners.
Identify culturally relevant collaborators who help elevate Spotify’s creative work and strengthen local market relevance.
Guide talent and partner selection by balancing creative ambition, operational excellence, scalability, and budget considerations.
Own production budgets, schedules, contracts, estimates, and project tracking, ensuring projects are delivered on brief, on budget, and on time.
Establish and continuously improve production workflows, quality standards, and delivery processes for the Mexico market.
Proactively identify risks, solve problems early, and make thoughtful trade-offs when timelines, scope, and budget priorities compete.

Who You Are
You have significant experience leading creative production within brand marketing, entertainment, music, media, or cultural marketing environments.
You know how to manage complex creative productions from planning through execution while maintaining high-quality standards.
You are experienced in overseeing budgets, contracts, production schedules, project plans, and vendor relationships.
You have a strong understanding of creative development processes and can effectively partner with both creative and business stakeholders.
You care about delivering inclusive, culturally relevant work that resonates with local audiences.
You communicate clearly, build trust quickly, and create alignment across cross-functional teams and external partners.
You have a track record of managing multiple priorities while maintaining attention to detail and delivering results.
You exercise sound judgment, stay calm under pressure, and adapt effectively when priorities change

Where You'll Be
This role is based in Mexico City, Mexico.
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in at least 2-3 times per week.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-28T15:57:20.353Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Application Engineer, Supply Chain Technology]]></title>
    <date>2026-05-29T13:45:46.266Z</date>
    <referencenumber>cmprxzzc800a4d4eephj0x6m3</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/application-engineer-supply-chain-technology-c9fdfec1</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Supply Chain Technology team within OpenAI’s Enterprise Platform &amp; Technology builds and scales the systems and data architecture that power our core supply chain operations. We enable operational agility, visibility, and execution across planning through fulfillment and partner operations. Our focus is on modernizing workflows through strategic integrations, scalable automation, and seamless data flows empowering better decisions, reliable operations, and sustainable growth as OpenAI evolves.

About the Role

We are seeking a Senior Application Engineer, Supply Chain Technology to lead the design, implementation, and evolution of our global supply chain systems landscape. This role will serve as a senior hands-on expert across Oracle Fusion SCM, owning solution architecture and implementation inside Oracle while helping define how the broader supply chain technology ecosystem integrates with it.

This is a highly cross-functional role that requires deep expertise in Oracle Cloud SCM modules, strong experience implementing solutions through configuration, customization, scripting, and Oracle-native integration capabilities, and the ability to partner closely with Supply Chain, Engineering, Finance, Procurement, and external partners to enable scalable, auditable, and resilient processes. This person will act as the primary Oracle point of contact for engineers building custom applications and external integrations, providing expert guidance on how and when those solutions should integrate with Oracle.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will

Lead Oracle Cloud SCM architecture ideation, establish design direction, and define scalable application and integration patterns across the supply chain landscape.

Design, configure, implement, and enhance solutions within Oracle Fusion SCM, including use of standard capabilities, customizations, scripting, APIs, and Oracle-native extension patterns.

Own solution design across core processes spanning planning, procurement, inventory, logistics, manufacturing, order management, and partner connectivity.

Lead the design, implementation support, and configuration of Oracle Cloud supply chain solutions, ensuring alignment with business requirements and long-term architectural direction.

Serve as the Oracle subject matter expert for engineers building custom applications and external integrations, advising on system capabilities, data models, integration touchpoints, and the right architectural patterns for building around Oracle.

Drive integration and data architecture for external partners including contract manufacturers, 3PL warehouses, freight forwarders, carriers, and retail / B2B customers.

Translate business requirements into scalable functional solutions, technical designs, process flows, and implementation patterns that align with long-term architectural direction.

Drive architecture improvements that reduce process variation, close control gaps, improve process agility, and create measurable business value.

Support accountability for data migration, testing, deployment readiness, production support, issue triage, and change control across business-critical supply chain applications.

Lead preparation of key documentation including business requirements, functional specifications, configuration guides, user guides, UAT definitions, and success metrics.

Partner across business and technical teams to influence decisions, build trust, and deliver high-quality outcomes on time and within scope.

You might thrive in this role if you

10+ years of experience in supply chain systems, enterprise applications, ERP platforms.

Deep hands-on expertise across Oracle Fusion SCM modules, including configuration, solution implementation, and platform-level design.

Strong experience designing and implementing solutions inside Oracle using configuration, extensions, scripting, APIs, and related Oracle capabilities.

Strong domain expertise across planning, procurement, manufacturing, inventory, logistics, order management, and broader supply chain operations.

Strong understanding of Order to Cash and Procure to Pay process flows and how they intersect with upstream and downstream enterprise systems.

Experience working with external supply chain partners such as contract manufacturers, 3PLs, freight forwarders, carriers, and retail / B2B customers.

Proven ability to act as a senior Oracle design authority for business stakeholders and engineers building custom applications and external integrations.

Strong experience defining complex application, data, and integration designs across enterprise systems landscapes.

Experience supporting testing, cutover, change control, and production issue resolution for business-critical systems.

Excellent communication, problem-solving, and stakeholder management skills, wit]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Flows]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Flows, Oracle, Cloud, APIs, Logistics, Databricks]]></skills>
    <expirationdate>2026-07-28T13:45:46.266Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Partner Director, India]]></title>
    <date>2026-05-29T05:41:35.727Z</date>
    <referencenumber>cmpry00hb00ayd4eeh4cvzeli</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/partner-director-india-3decc442</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[India - Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

The APAC Partnerships team builds and grows a high-impact partner ecosystem that helps customers adopt OpenAI solutions successfully, advances OpenAI’s mission, and supports the company’s growth.

About the Role

We are hiring a Partner Director to shape and execute OpenAI’s partner strategy in India, with a major focus on building a high-impact AWS-centered go-to-market motion.

You will work closely with AWS and a prioritised ecosystem of services partners to generate partner-sourced opportunities, deliver customer wins, and develop repeatable solutions. You will translate the broader APAC AWS strategy into a practical India operating plan, aligning AWS field teams, services partners, and OpenAI teams around the most valuable opportunities.

This is a hands-on role with responsibility across the full services-partner lifecycle: identifying and prioritising prospective partners, leading contracting, activating newly signed partners, growing strategic relationships, and managing performance.

You will work with a mix of India-headquartered and global services partners, selecting the right portfolio based on market needs. You will build senior executive relationships while also driving the operating rhythms required to turn partnerships into measurable results.

This role reports to the APAC Partnerships Lead in Singapore and is based in India.

In this role you will:

Contribute to and partially own the India partner strategy and annual operating plan, with a primary focus on AWS.

Translate the APAC AWS partnership strategy into local priorities, target accounts, partner activation plans, and measurable outcomes for India.

Build strong relationships with AWS India leadership and its partner, sales, and technical teams.

Mobilise a prioritised portfolio of services partners around the OpenAI and AWS opportunity in India.

Identify, evaluate, recruit, and contract with services partners based on market needs and strategic priorities.

Own the contracting process end to end, coordinating with legal, finance, and leadership teams through approval and signature.

Drive joint account planning and field engagement with AWS and priority services partners to grow partner-sourced opportunities and deliver customer wins.

Manage strategic relationships with both India-headquartered partners and the India or regional leadership teams of global partners.

Drive partner onboarding across sales training, technical enablement, security and provisioning, and support operations.

Collaborate with AWS, services partners, and internal teams to develop repeatable solutions, customer propositions, demo assets, delivery playbooks, and localised technical documentation.

Establish governance for priority partnerships, including operating reviews, executive business reviews, milestone tracking, and escalation processes.

Build scalable operating processes for the India partner ecosystem, including reporting, playbooks, activation plans, and performance management.

Monitor partner performance, identify risks early, and drive remediation or acceleration plans.

Coordinate across Sales, Solutions Engineering, Enablement, Operations, Customer Success, and Marketing to ensure internal alignment and partner success.

Coordinate with Marketing on AWS-related launches, campaigns, enablement activities, and market-facing events.

Represent OpenAI with senior partner executives and at relevant external events.

Travel regularly across India, with occasional travel across APAC and to the United States.

You might thrive in this role if you have:

10+ years of experience in partnerships, alliances, partner success, or enterprise sales within enterprise software, consulting, or systems-integration environments.

Demonstrated experience building partner-led go-to-market motions with AWS, ideally within the Indian enterprise market.

A strong understanding of the AWS ecosystem, including how hyperscaler field teams, partner organisations, and services partners work together to generate and convert customer opportunities.

Experience building and growing a portfolio of services partners, from initial identification and contracting through activation and scaled execution.

Strong knowledge of the Indian enterprise ecosystem and experience working with both local and global partner organisations.

A track record of influencing partner-sourced growth, supporting customer wins, and developing repeatable solutions.

The ability to translate a regional partnership strategy into local account priorities, partner plans, and operating cadences.

Experience managing senior executive relationships while remaining comfortable working through operational details.

Strong commercial judgement and the ability to prioritise investments across a diverse partner landscape.

Excellent program-management skills, with the ability to manage multiple workstreams and hold cross-functional stakeholders accountable.

Experience operating in an early-stag]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[AWS]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[AWS]]></skills>
    <expirationdate>2026-07-28T05:41:35.727Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Marketing Program Manager, Workshops]]></title>
    <date>2026-05-28T22:07:57.866Z</date>
    <referencenumber>cmpry054700d6d4eeu31aadir</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/marketing-program-manager-workshops-1a2bd329</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the roleAs a Marketing Program Manager, Workshops, you will own programs that help enterprise prospects and customers learn from Cursor, engage with our team, and deepen adoption.

You’ll run our virtual workshop motion end to end — from identifying the right topics and audiences to planning the calendar, coordinating speakers, hosting the live experience, and ensuring follow-up turns engagement into pipeline.

This is a high-agency operator role. You should be equally comfortable deciding what program to run next, writing the brief, keeping cross-functional partners aligned, troubleshooting live event operations, and making sure every lead gets routed and followed up correctly.

Success in this role is measured first by pipeline generation and influence, along with program quality, audience engagement, community health, and operational excellence. It also depends on how effectively these programs educate prospects and customers in ways that drive usage and adoption of new features.

What you’ll doOwn the virtual workshop program end to end — define the strategy, build the calendar, develop themes and topics, coordinate speakers, manage production, host sessions, and run post-event follow-up.

Develop compelling program ideas — identify the highest-leverage topics for enterprise buyers, admins, and practitioners by partnering with Sales, Product Marketing, Customer Success, Field, and Product.

Run live operations flawlessly — manage registration flows, speaker prep, rehearsal, platform logistics, audience moderation, demos, timing, troubleshooting, and post-event assets.

Drive lead management and follow-up — ensure attendee and engagement data are captured cleanly, segmented appropriately, routed quickly, and translated into thoughtful follow-up with the right teams.

Measure what works and improve it — define success metrics across attendance, engagement, conversion, influenced pipeline, community participation, and program ROI; then use the data to refine the motion.

Build the operating system behind the programs — create repeatable processes, templates, calendars, workflows, and reporting that let the function scale without losing quality.

Operate with strong judgment under constraint — prioritize the highest-leverage programs, keep many moving parts on track, and maintain a high bar for execution.

You may be a fit ifYou’ve run demand generation programs that required strong coordination across content, audience strategy, operations, and sales follow-up.

You’ve owned webinars, workshops, events, community programs, or similar engagement motions from concept through execution and measurement.

You’re energized by end-to-end ownership and know how to turn a rough idea into a well-run, repeatable program.

You have strong judgment on what topics and formats will resonate with enterprise audiences and drive meaningful engagement.

You’re highly organized and operationally sharp — you can keep calendars, stakeholders, systems, and follow-up moving without dropping details.

You communicate clearly and comfortably in live environments, whether you’re hosting a webinar, briefing speakers, or working through last-minute issues.

You’re somewhat technical and can translate product value into clear, compelling programming for enterprise audiences.

You thrive in fast-moving, ambiguous environments where the playbook is still being built.

Experience that helpsExperience in demand generation or community marketing at a B2B SaaS company.

Experience marketing to technical or developer-adjacent audiences, especially in enterprise software.

Experience owning webinar platforms, registration workflows, lead routing, reporting, and campaign operations.

Experience building or scaling an enterprise customer community program.

Comfort partnering closely with Sales and Customer Success on follow-up motions and pipeline outcomes.

Strong instincts for process design, project management, and operational rigor.

Experience with marketing automation, CRM workflows, and event tooling.

Why this role mattersThis role sits at the center of how Cursor shows up to enterprise audiences in a credible, helpful, and repeatable way. Done well, these programs will educate the market, create stronger customer relationships, surface champions, and drive meaningful pipeline.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cursor, Flows, Logistics, Project Management]]></skills>
    <expirationdate>2026-07-27T22:07:57.866Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Facilities Operations Manager]]></title>
    <date>2026-05-28T21:29:14.069Z</date>
    <referencenumber>cmpry00ob00ced4eebrpkklq6</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/facilities-operations-manager-982b19ea</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote - US]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI is helping build the infrastructure that powers the next generation of artificial intelligence. Through Stargate, we are developing and operating large-scale AI compute campuses that require world-class execution across data center design, construction, commissioning, and operations.

The Infrastructure Operations team is responsible for bringing AI infrastructure online and ensuring it operates reliably at scale. We partner closely with hardware, network, deployment, construction, and operations teams to deliver mission-critical environments capable of supporting frontier AI workloads. As our footprint expands, operational excellence becomes increasingly important to ensuring safe, reliable, and efficient campus operations.

About the Role

We are seeking a Facilities Operations Manager to support the commissioning, operational readiness, and long-term operation of next-generation AI data center campuses.

This role sits at the intersection of construction, commissioning, hardware deployment, and facilities operations. You will be responsible for ensuring mission-critical infrastructure is prepared to support hardware deployment, transitioned successfully into production operations, and maintained to the highest standards of reliability and availability.

You will lead day-to-day operational execution across electrical, mechanical, controls, and supporting infrastructure systems while partnering closely with commissioning teams, site operators, vendors, and engineering organizations. This role requires a strong blend of technical depth, operational leadership, and cross-functional execution.

Key Responsibilities

Lead day-to-day operations of mission-critical facility infrastructure across AI compute campuses.

Own operational readiness activities supporting new campus deployments and infrastructure expansion.

Partner with commissioning teams to transition facilities from construction and startup into steady-state operations.

Develop, implement, and continuously improve operating procedures, maintenance programs, and response plans.

Lead infrastructure incident response efforts and coordinate recovery activities during critical events.

Drive root cause analysis investigations and corrective action programs to improve reliability and operational performance.

Manage vendors, contractors, and service providers supporting facility operations.

Partner with hardware deployment, networking, and engineering teams to coordinate infrastructure changes and maintenance activities.

Monitor facility performance, operational risk, and capacity utilization across critical systems.

Support staffing, training, and development of facilities operations personnel.

Ensure compliance with safety, environmental, and operational standards.

Establish operational processes that scale alongside OpenAI's rapidly growing infrastructure footprint. (OpenAI)

Qualifications

8+ years of experience operating mission-critical facilities, data centers, industrial infrastructure, or large-scale technical operations environments.

Possess strong knowledge of electrical distribution systems, generators, UPS systems, cooling systems, and building controls.

Have experience supporting commissioning, operational readiness, or infrastructure turnover programs.

Have led facility operations teams, contractors, and third-party vendors.

Are comfortable responding to incidents and making decisions in high-pressure operational environments.

Have experience developing maintenance strategies, operating procedures, and reliability programs.

Enjoy operating in fast-paced environments with significant ambiguity and rapid growth.

Communicate effectively across technical and non-technical stakeholders.

Preferred Skills

Experience supporting hyperscale, cloud, AI, HPC, or mission-critical data center environments.

Experience with liquid cooling systems and high-density compute deployments.

Familiarity with reliability engineering methodologies, root cause analysis, and preventative maintenance programs.

Experience supporting large-scale infrastructure deployment programs.

Experience working across construction, commissioning, engineering, and operations organizations.

Experience scaling operational processes across multiple campuses or geographic regions.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Operators]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Operators, ChatGPT, Cloud]]></skills>
    <expirationdate>2026-07-27T21:29:14.069Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Deal Desk Lead, Cloud Marketplaces & Partnerships — AWS Focus]]></title>
    <date>2026-05-28T21:24:04.174Z</date>
    <referencenumber>cmpry00n600c2d4ee9iczactm</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/deal-desk-lead-cloud-marketplaces-partnerships-aws-focus-0a3ef1a1</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamOpenAI’s Finance and Revenue Operations organization builds the commercial infrastructure that enables the business to scale with speed, discipline, and financial integrity.

Deal Desk partners closely with Sales, Partnerships, Legal, Technical Revenue, Finance, Order Management, Billing Operations, Product, and GTM Systems to structure and execute complex enterprise transactions. We help the business move quickly while ensuring commercial agreements are executable, scalable, and supported by strong operational and financial controls.

As OpenAI expands its strategic cloud partnership motions (AWS), Deal Desk will play an important role in establishing the commercial workflows, guardrails, and execution mechanisms needed to support partner-led and marketplace-enabled enterprise transactions.

About the RoleWe are hiring a Deal Desk Lead, Cloud Marketplaces &amp; Partnerships — AWS Focus to lead the commercial execution framework for cloud-partner transactions.

This role will focus on supporting the AWS and OpenAI partnership, including AWS Marketplace and other partner-led enterprise commercial motions.

This is an individual contributor role for someone who combines strong enterprise deal judgment with operational rigor and a builder mindset. You will Translate complex AWS partner-led transactions into executable commercial structures, approvals, and repeatable Deal Desk processes.

You will not own partner relationship management, pipeline generation, or sales closing. Instead, you will own the Deal Desk execution and governance layer that helps AWS-related opportunities move efficiently without creating unmanaged downstream risk across contracting, billing, revenue recognition, provisioning, reporting, controls, auditability, or customer experience.

The right candidate is comfortable moving between complex individual transactions and broader process improvement. They can assess risk, recommend practical paths forward, align cross-functional stakeholders, and convert recurring transaction patterns into scalable guidance, controls, systems requirements, and enablement.

This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

In this role, you will:Serve as the Deal Desk subject matter expert, partnering cross-functionally to structure and execute complex AWS Marketplace and partner-led enterprise transactions

Establish clear governance and guardrails for partner-led deals, advising on transaction structures and assessing their downstream impact on contracting, billing, and revenue recognition

Translate emerging commercial requirements into scalable quote-to-cash workflows and systems requirements, identifying friction points to drive process improvements and automation

Assess the downstream operational and financial impact of proposed deal structures across contracting, billing, revenue recognition, and auditability

Build repeatable execution mechanisms, including approval matrices, standard operating procedures, and playbooks to strengthen commercial motion

Support private offer structuring and execution on a day-to-day basis

We’re Seeking Someone With:Typically 7+ years of individual contributor experience in Deal Desk, Commercial Operations, channel sales, or a related enterprise SaaS/cloud-commercial function

Expertise in structuring and executing complex, non-standard enterprise transactions and building scalable processes, controls, and playbooks

Strong command of quote-to-cash (QTC) processes, including the downstream operational and financial impact on contracting, billing, and revenue recognition

Demonstrated ability to assess risk, recommend clear paths forward, and influence senior cross-functional stakeholders (including Sales, Legal, and Finance) without formal authority

Hands-on experience with enterprise commercial systems like Salesforce, CPQ, and marketplace tooling

Preferred QualificationsDeep experience supporting AWS Marketplace transactions (private offers, cloud commitments, billing, etc.) or comparable commercial motions across major cloud ecosystems (Azure, Google Cloud Platform, Snowflake, etc.).

Familiarity with AWS co-sell or partner-led enterprise sales motions and the respective cross-functional responsibilities (Sales, Partnerships, Legal, Finance, Deal Desk).

Experience with marketplace transaction dependencies, including entitlements, provisioning, metering, usage reporting, billing adjustments, reconciliation, and technical revenue/accounting support.

You Might Thrive in This Role If You:Embrace a builder mindset, driving process improvement, and establishing scalable structures, controls, and repeatable execution mechanisms in a developing commercial motion.

Balance commercial urgency with operational discipline, ensuring billing accuracy, revenue integrity, auditability, and strong customer outcomes.

Excel at cross-functional coordination and]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud, AWS, Salesforce, Azure, Google Cloud Platform, Snowflake, Excel]]></skills>
    <expirationdate>2026-07-27T21:24:04.174Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Machine Learning Engineer - Enrichment & Content Intelligence]]></title>
    <date>2026-05-28T20:49:06.631Z</date>
    <referencenumber>cmprxzkjd009qd4ee7pu9xfgy</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-machine-learning-engineer-enrichment-content-intelligence-7f63cc93</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[The Experience team designs Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

The Enrichment &amp; Content Intelligence team sits within Content Platform in the Experience Mission. We build the metadata-resolution and content-enrichment infrastructure that powers how Spotify understands music and video content at global scale. Our systems help answer foundational questions across the platform: which tracks are the same recording, which music videos match which audio tracks, who wrote and performed a song, and how content relationships connect across Spotify’s catalog.

Our infrastructure powers products and experiences used by millions of listeners, artists, and creators every day. From recommendations and charts to royalties and artist tooling, the work we do directly shapes how content is understood and surfaced across Spotify.

We’re looking for a Senior Machine Learning Engineer to help evolve the machine learning systems behind Recording Groups, Music Video Resolution, SongDNA, and the Music Knowledge Graph. This role sits at the intersection of multimodal machine learning, entity resolution, and production-scale engineering, with opportunities to work across audio, video, and metadata understanding problems at massive scale.

What You'll Do

Own and evolve large-scale ML pipelines powering Spotify’s content-resolution systems
Lead development of multimodal embedding frameworks supporting multimodal understanding, music video matching, SongDNA
Improve entity-resolution systems across music and video content, helping Spotify better understand relationships between recordings, versions, and content formats
Design and run experiments to improve precision, recall, and overall content-quality outcomes using offline evaluation, golden datasets, A/B testing, and impact analysis
Build scalable ML evaluation and monitoring infrastructure, including standardized datasets, retraining workflows, and continuous improvement systems
Contribute to the evolution of the Music Knowledge Graph by improving production ML capabilities, observability, and model lifecycle management
Partner closely with Product Managers, Data Scientists, and engineering teams across Content Platform and the wider Experience Mission
Help shape technical strategy for the squad and contribute to long-term ML direction across the product area
Mentor engineers and contribute to a strong culture of technical collaboration and experimentation

Who You Are

You have solid experience building, deploying, and maintaining machine learning systems in production at scale
You have strong experience training, evaluating, and operating ML models using modern frameworks such as PyTorch or TensorFlow
You have experience working with multimodal machine learning systems across audio, computer vision, text embeddings, or related domains
You understand entity resolution, deduplication, record linkage, or large-scale matching problems, ideally across multiple content modalities
You know how to design evaluation systems that balance model quality, operational performance, and real-world impact
You are experienced working with large-scale distributed data processing systems and ML infrastructure
You communicate effectively across engineering, product, and data science stakeholders
You are comfortable leading technical initiatives and influencing engineering direction within a team
Experience with Scio, Dataflow, Flyte, BigQuery, or similar distributed processing frameworks is a plus
Experience with Scala is a plus
Experience with computer vision, video understanding, multimodal embeddings, or recommendation systems is a strong plus

Where You'll Be

This role is based in New York City
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $184,049–262,928 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Machine Learning, PyTorch, TensorFlow, Computer Vision, ML Infrastructure, Scala]]></skills>
    <expirationdate>2026-07-27T20:49:06.631Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Global Food Operations Specialist]]></title>
    <date>2026-05-28T20:42:21.705Z</date>
    <referencenumber>cmpry00iu00bad4eevzptah3j</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/global-food-operations-specialist-5f28062f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe Global Food team is responsible for designing, operating, and scaling OpenAI’s food program across offices worldwide. The team partners closely with Workplace, Finance, Real Estate &amp; Workplace (REW), vendors, and technical teams to deliver a high-quality, hospitality-driven employee experience while building the systems, processes, and operational infrastructure needed to support OpenAI’s rapid global growth. The team also leads operational integrations for acquisitions, ensuring newly acquired teams are successfully onboarded into OpenAI’s food program standards and operating models.

About the RoleAs a Global Food Operations Specialist, you will support the execution and continuous improvement of OpenAI’s global food program across multiple offices and regions. You’ll help coordinate daily operations, support vendor performance and governance, manage operational reporting and systems, and contribute to the development of scalable processes that enable global growth. You’ll also play a key role in leveraging AI, automation, and operational technology to improve workflows, reporting, and program effectiveness.

We’re looking for people who are highly organized, systems-minded, collaborative, and excited to solve operational challenges in a fast-paced environment. The ideal candidate combines strong operational execution with a hospitality mindset and a passion for using technology and automation to improve how work gets done.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Some domestic and international travel may be required to support office launches, operational initiatives, and acquisitions integrations.

In this role, you will:Support the day-to-day operations of OpenAI’s global food program, partnering with vendors, office teams, and cross-functional stakeholders to ensure consistent execution across regions.

Coordinate operational launches and transitions, including cafés, meal delivery programs, new office openings, and food program integrations associated with acquisitions.

Track operational follow-ups, risks, escalations, and action items while maintaining clear communication and accountability across stakeholders.

Support vendor performance management through KPI tracking, reporting validation, operational reviews, and follow-through on agreed action plans.

Partner with Workplace Data &amp; Technology teams to improve reporting, dashboards, operational systems, and AI-enabled workflows that increase efficiency and scalability.

Maintain operational documentation, SOPs, trackers, and governance processes that support consistent global program execution.

Help gather and analyze employee feedback, support food program communications, and contribute to continuous improvement initiatives that enhance the employee experience.

Identify operational gaps, process inefficiencies, and opportunities for automation or standardization, and help implement scalable solutions.

You might thrive in this role if you:Have experience supporting operations, hospitality, workplace experience, program coordination, vendor management, or related functions in a fast-paced environment.

Are highly organized, detail-oriented, and able to manage multiple priorities simultaneously while maintaining strong follow-through.

Enjoy building structure within ambiguity and can effectively coordinate across diverse stakeholders and teams.

Have experience working with operational reporting, dashboards, KPIs, spreadsheets, or business systems to drive decision-making and accountability.

Are excited about AI, automation, and technology-enabled operations, and enjoy identifying opportunities to improve workflows and processes.

Bring a hospitality-first mindset and care deeply about delivering a high-quality employee experience.

Have experience supporting multi-site or global operations and collaborating across regions and cultures.

Communicate clearly and effectively with both technical and non-technical audiences and can influence outcomes through collaboration and data-driven insights.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see Open]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-27T20:42:21.705Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Head of Data Center Rack and Cluster]]></title>
    <date>2026-05-28T20:08:08.726Z</date>
    <referencenumber>cmpry00o500ccd4eebm8emsmp</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/head-of-data-center-rack-and-cluster-e5b01974</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Industrial Compute team at OpenAI is responsible for all things compute capacity, from our partnership deals (i.e. stargate) through the delivery and operations of this capacity.  The team is a fast-paced, dynamic team working on the cutting edge of capacity at scale, speed, quality, and cost, while enabling the best AI Frontier models and beyond.

About the Role

This role is responsible for leading the engineering team that defines the rack and system architectures underpinning the compute infrastructure enabling OpenAI’s frontier AI models.  The role will oversee the early phases of compute definition from architectural definition through delivery of production-ready racks.

We are looking for an experienced engineering leader who understands how to navigate the technical and business tradeoffs required to build the world’s premiere AI infrastructure.  Qualified candidates will have extensive hands-on experience in system bring up and a proven ability to bring platforms to a stable state ready for production use through lab and early test and deployment environments.

In this role, you will:

Own the reference rack, cluster, and system architecture standards for new OpenAI compute platforms.

Define readiness and acceptance criteria for production-bound systems.

Stay engaged through validation until configurations are proven repeatable and ready for handoff.

Manage relationships with accelerator and equipment vendors to define an overall roadmap

Partner across the industrial compute and partner teams to bring clarity to requirements and ensure smooth delivery of next-gen systems

Manage a team of engineering leads focused on the architectural and engineering work required to define, test and stabilize OpenAI’s future compute platforms.

You might thrive in this role if you:

Have hyperscale data center experience (or equivalent)

Have deep experience in rack, system, or network architecture definition

Can effectively leverage performance and TCO modeling and a deep understanding of business risks and requirements to guide complex and often ambiguous system tradeoffs.

Have experience overseeing delivery of complex new hardware platforms and can effectively shepherd systems from first delivery to production-ready state

Can manage vendor relationships to resolve rack and system issues in addition to shepherding vendor roadmaps to support OpenAI’s needs.

Have excellent management and leadership skills.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-27T20:08:08.726Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Solutions Architect]]></title>
    <date>2026-05-28T16:57:17.233Z</date>
    <referencenumber>cmpry04x700cwd4eelfhjuyol</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/solutions-architect-61295e1d</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the RoleWe’re hiring Solution Architects to help the world’s best engineering organizations figure out what AI-native software development actually looks like in production.

This is a deeply technical, post-sale role embedded inside Cursor’s most strategic enterprise accounts. You’ll work directly with engineering teams to roll out high-impact workflows, accelerate adoption, and help organizations fundamentally rethink how software gets built with AI.

Solution Architects sit at the center of long-term customer transformation. You’ll help customers move from initial excitement to deeply integrating engineering workflows that teams rely on every day. That means understanding how modern software organizations operate, identifying where Cursor can create the most leverage, and helping customers scale adoption across teams, platforms, and workflows over time.

This role is highly hands-on. You’ll configure environments, design workflows, run enablement sessions, and solve technical problems directly with developers and platform teams inside complex enterprise environments. You’ll also help engineering leaders think through rollout strategy, workflow evolution, and the long-term architecture for AI-native development.

The best Solution Architects combine deep technical credibility with strong product instincts, high ownership, and the ability to influence how large engineering organizations evolve. Solution Architects are also equally comfortable debugging CI workflows, leading architecture reviews, and helping executives understand where AI changes the economics of software development.

What You’ll DoHelp Engineering Teams Adopt AI-Native DevelopmentRoll out Cursor across strategic engineering organizations

Configure environments, design workflows, and run hands-on enablement sessions

Help developers integrate Cursor into real production workflows, not isolated demos

Drive fast time-to-value and durable adoption across teams

Identify workflow friction and solve problems quickly

Expand Cursor Across the OrganizationIdentify where Cursor should expand next inside the customer environment

Help engineering organizations evolve from isolated usage to company-wide adoption

Design rollout strategies for new workflows, teams, and platform groups

Partner with customers to operationalize AI-assisted development at scale

Work closely with Account Executives during major expansion moments

Become a Trusted Technical PartnerBuild deep relationships with developers, platform teams, engineering leadership, and executive stakeholders

Lead architecture reviews, technical working sessions, and strategic planning discussions

Advise customers on developer productivity, workflow design, governance, and AI adoption strategy

Coordinate across Sales, Product, Engineering, and Customer Success to unblock customer progress

Help organizations navigate workflow and operational change as AI-native development evolves

Drive Real Customer OutcomesHelp customers translate adoption into measurable engineering impact

Connect Cursor usage to outcomes like faster iteration cycles, improved developer productivity, workflow efficiency, and engineering quality

Help customers communicate the value of Cursor internally and build momentum for broader adoption

Turn successful deployments into repeatable workflow patterns across the organization

Help Make Cursor IndispensableDeepen workflow adoption and long-term product stickiness

Monitor competitive risk and help customers standardize on Cursor over time

Support recovery plans when adoption slows or competing tools gain traction

Help customers build workflows they can’t imagine operating without

Shape the Future of the ProductBring structured feedback from strategic customers into Product and Engineering

Identify emerging workflow patterns, friction points, and enterprise requirements

Help shape new capabilities through lighthouse customers and design partnerships

Turn successful customer workflows into reusable playbooks and reference patterns

You’ll might be a fit ifYou have a strong technical background in software engineering, infrastructure, DevOps, platform engineering, or developer tooling

You have experience in customer-facing technical roles such as Solution Architect, Solutions Engineer, Forward Deployed Engineer, Technical Account Manager, Enterprise Architect, or similar

You have the ability to work hands-on with engineering teams while also operating strategically with technical leadership

You have a strong understanding of developer workflows, SDLC tooling, integ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cursor, DevOps, SDLC, CI/CD]]></skills>
    <expirationdate>2026-07-27T16:57:17.233Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Compensation Operations Lead]]></title>
    <date>2026-05-28T16:11:37.404Z</date>
    <referencenumber>cmpry00mz00c0d4eeqwx1qz2o</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/compensation-operations-lead-6b4dbc2a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamOpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. This long-term undertaking brings together the world’s leading scientists, engineers, and business professionals to develop and deploy transformative AI technologies.

Our Go-To-Market (GTM) organization helps customers understand, adopt, and scale OpenAI’s products and platform. Revenue Operations partners closely with Sales, Finance, and People teams to drive planning, performance management, and operational excellence across the business. The Planning team leads key revenue planning cycles and helps align resources, incentives, and execution against company priorities.

About the RoleWe are seeking a Compensation Operations Lead to build and scale the operational infrastructure supporting OpenAI’s global variable compensation programs across Sales, Technical Success, Partnerships, and other GTM teams.

This role owns the systems, processes, administration, and execution of compensation operations—including plan administration, compensation tooling, payout cycles, governance, and field support. Partnering closely with Revenue Operations, Finance, Total Rewards, HRIS, and GTM Systems, you will ensure compensation programs are accurate, scalable, compliant, and trusted by the field.

The ideal candidate combines deep compensation operations expertise with strong systems thinking, operational rigor, and a customer-service mindset.

You'll be responsible for:Compensation OperationsAdminister compensation plans, quotas, credits, adjustments, exceptions, and payout processes.

Manage compensation workflows, approvals, and annual planning cycles.

Support compensation launches, plan changes, and operational readiness across GTM teams.

Design scalable processes that ensure accurate and efficient compensation administration.

Systems &amp; ToolingOwn compensation systems and integrations, including configuration, testing, release management, vendor relationships, and enhancement prioritization.

Partner with GTM Systems, Finance Systems, and HRIS teams on architecture, implementation, and process improvements.

Ensure data quality and operational readiness across compensation workflows.

Governance, Reporting &amp; PayoutsLead recurring compensation payout cycles, reconciliations, and operational close processes.

Own compensation letter generation, distribution, tracking, and record management.

Partner with Legal, HR, and Finance on governance, approvals, compliance, and audit requirements.

Develop reporting, dashboards, and quality assurance processes to improve visibility and accuracy.

Field Support &amp; EnablementServe as the primary escalation point for compensation-related field questions.

Build scalable support resources, FAQs, documentation, and intake processes.

Partner with Enablement and Sales Leadership to improve understanding, adoption, and trust in compensation programs.

We're looking for someone with:8+ years of experience in compensation operations, sales operations, revenue operations, finance operations, or related operational roles.

Deep experience administering variable compensation programs at scale.

Strong experience with compensation systems and operational tooling.

Experience managing payout cycles, quota workflows, plan administration, and compensation governance.

Demonstrated ability to build scalable operational processes in high-growth environments.

Strong cross-functional stakeholder management and communication skills.

Strong analytical, systems, and problem-solving capabilities.

Comfortable balancing strategic thinking with hands-on execution.

Nice to HaveExperience standing up or scaling compensation operations during periods of rapid growth.

Familiarity with consumption-based or hybrid revenue models.

Experience implementing or administering compensation management platforms.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consis]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-27T16:11:37.404Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Solutions Architect - Western Europe]]></title>
    <date>2026-05-28T14:55:40.834Z</date>
    <referencenumber>cmpry053e00d2d4eeoj4wqxnq</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/solutions-architect-london-b881906c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the RoleWe’re hiring Solution Architects to help the world’s best engineering organizations figure out what AI-native software development actually looks like in production.

This is a deeply technical, post-sale role embedded inside Cursor’s most strategic enterprise accounts. You’ll work directly with engineering teams to roll out high-impact workflows, accelerate adoption, and help organizations fundamentally rethink how software gets built with AI.

Solution Architects sit at the center of long-term customer transformation. You’ll help customers move from initial excitement to deeply integrating engineering workflows that teams rely on every day. That means understanding how modern software organizations operate, identifying where Cursor can create the most leverage, and helping customers scale adoption across teams, platforms, and workflows over time.

This role is highly hands-on. You’ll configure environments, design workflows, run enablement sessions, and solve technical problems directly with developers and platform teams inside complex enterprise environments. You’ll also help engineering leaders think through rollout strategy, workflow evolution, and the long-term architecture for AI-native development.

The best Solution Architects combine deep technical credibility with strong product instincts, high ownership, and the ability to influence how large engineering organizations evolve. Solution Architects are also equally comfortable debugging CI workflows, leading architecture reviews, and helping executives understand where AI changes the economics of software development.

What You’ll DoHelp Engineering Teams Adopt AI-Native DevelopmentRoll out Cursor across strategic engineering organizations

Configure environments, design workflows, and run hands-on enablement sessions

Help developers integrate Cursor into real production workflows, not isolated demos

Drive fast time-to-value and durable adoption across teams

Identify workflow friction and solve problems quickly

Expand Cursor Across the OrganizationIdentify where Cursor should expand next inside the customer environment

Help engineering organizations evolve from isolated usage to company-wide adoption

Design rollout strategies for new workflows, teams, and platform groups

Partner with customers to operationalize AI-assisted development at scale

Work closely with Account Executives during major expansion moments

Become a Trusted Technical PartnerBuild deep relationships with developers, platform teams, engineering leadership, and executive stakeholders

Lead architecture reviews, technical working sessions, and strategic planning discussions

Advise customers on developer productivity, workflow design, governance, and AI adoption strategy

Coordinate across Sales, Product, Engineering, and Customer Success to unblock customer progress

Help organizations navigate workflow and operational change as AI-native development evolves

Drive Real Customer OutcomesHelp customers translate adoption into measurable engineering impact

Connect Cursor usage to outcomes like faster iteration cycles, improved developer productivity, workflow efficiency, and engineering quality

Help customers communicate the value of Cursor internally and build momentum for broader adoption

Turn successful deployments into repeatable workflow patterns across the organization

Help Make Cursor IndispensableDeepen workflow adoption and long-term product stickiness

Monitor competitive risk and help customers standardize on Cursor over time

Support recovery plans when adoption slows or competing tools gain traction

Help customers build workflows they can’t imagine operating without

Shape the Future of the ProductBring structured feedback from strategic customers into Product and Engineering

Identify emerging workflow patterns, friction points, and enterprise requirements

Help shape new capabilities through lighthouse customers and design partnerships

Turn successful customer workflows into reusable playbooks and reference patterns

You’ll might be a fit ifYou have strong technical background in software engineering, infrastructure, DevOps, platform engineering, or developer tooling

You have experience in customer-facing technical roles such as Solution Architect, Solutions Engineer, Forward Deployed Engineer, Technical Account Manager, Enterprise Architect, or similar

You have the ability to work hands-on with engineering teams while also operating strategically with technical leadership

You have a strong understanding of developer workflows, SDLC tooling, integra]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cursor, DevOps, SDLC, CI/CD]]></skills>
    <expirationdate>2026-07-27T14:55:40.834Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Manager - Interfaces]]></title>
    <date>2026-05-28T14:29:34.444Z</date>
    <referencenumber>cmq1y3207018iz2xwty3qeypa</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-manager-interfaces-6f287b2f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About SupabaseSupabase is the open-source Postgres development platform. Over 7,000,000 developers — from indie hackers to teams inside Wells Fargo, Coinbase, Audi, and Capital One — build on Supabase, and every one of them meets the product through the same five surfaces: the SDKs, the docs, the dashboard, the Management API, and the CLI. They are the product to every developer who touches Supabase.

These interfaces now have a second audience: coding agents. Claude, Codex, Lovable, Bolt (and more) now read our docs, call our SDKs, use our APIs, and drive the CLI on behalf of developers. As the PM for these surfaces, you will define how Supabase will be as readable, predictable, and trustworthy as possible, both to humans and agents alike.

What you will doTalk to customers across the full spectrum. From indie developers wiring up a side project, to AI-native platforms generating Supabase apps for their own users, and to enterprise teams integrating the Management API into their internal control planes, you will find the real blockers and ensure we are building the right things, in the right order.

Own the problem statement and requirements behind every interface bet. Define what we should build next (and why) to make Supabase the best developer experience in the world, collaborating closely with Engineering and Design.

Set the bar for what "agent-friendly" means on Supabase. Decide how the SDK reads to a coding agent, how the docs are retrieved and quoted, how APIs are discovered, and how the CLI behaves when something automated is driving it. For you "AI-friendly" will not be a slogan but a reality, proven by specific changes you mill make and measure.

Define how each launch is measured before it ships. You will set clear goals that measure how a change actually moves developer activation, docs comprehension, agent task success, or API adoption—and you’ll use that insight to guide what we do next.

Keep engineering, design, and leadership aligned. Engineering and design teams across every Supabase surface ship into the experience you own. Communicate what's coming, why, and in what order, and make sure it feels like one product, not five.

Who you are7+ years of product management experience on developer tools, or an ex-founder with strong product instincts. You're technical enough to read an architecture doc, follow a design discussion, and ask the right questions.

You've shipped a public SDK, CLI, dashboard, or API that external developers depend on. Not features that happened to touch an SDK; you owned the surface. You’re equally adept at API design, docs IA, and dashboard flows, and you've made the trade-offs between them in production.

You understand the landscape is evolving. You’re familiar with how coding agents (such as Claude, Codex and Cursor) consume SDKs, docs, and APIs, and how to optimize for developers using them.

You're biased toward speed. You'd rather ship something imperfect and learn than spend another sprint refining a spec.

You build with what you own. You install the CLI, call the Management API, read the docs end-to-end, and write real code against supabase-js. You develop opinions through first-hand use, not screenshots.

You use AI to move faster. You use AI tools to compress the slow parts of the job (research, drafting, synthesizing feedback) so you spend more time on judgment calls, and you've built enough with agents to have real opinions on what makes an interface agent-friendly.

You work async by default. Supabase is fully remote. You make decisions in writing and move work forward without meetings.

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community member]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-27T14:29:34.444Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Staff Engineer - Content Intelligence Infrastructure]]></title>
    <date>2026-05-28T12:32:59.334Z</date>
    <referencenumber>cmprxzkvd009sd4eesvy04lwb</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/staff-engineer-content-intelligence-infrastructure-ca6a0fef</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[The Experience team designs Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

The Content Intelligence Product Area is a core part of Spotify’s Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise.

We’re now looking for a Staff Engineer to help build and scale foundational infrastructure powering content understanding across Spotify. This role sits at the intersection of backend systems, ML infrastructure, distributed data systems, and AI-enabled platform capabilities. You’ll help shape infrastructure strategy across the product area while partnering with senior engineers, product leaders, and cross-functional teams to execute on long-term technical investments.

What You'll Do

Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify’s content intelligence capabilities

Build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines

Partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area

Drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability

Improve infrastructure supporting AI and LLM-enabled workflows, including podcast and audiobook transcript processing, metadata enrichment, and content understanding systems

Develop reliable and cost-efficient systems for high-throughput content processing and real-time intelligence use cases

Collaborate across organizational boundaries to drive alignment, technical quality, and long-term platform investments

Mentor engineers and contribute to raising the engineering bar across the organization

Who You Are

You have extensive experience building and scaling large-scale backend and infrastructure systems in distributed environments

You have strong technical judgment and can balance scalability, reliability, cost, and product needs effectively

You have strong programming experience in Java, Python, and/or Scala

You understand the challenges of building systems that process high-volume multimedia or real-time workloads

You have worked with systems and products that use AI and LLMs at large scale and can demonstrate direct experience in building such products. You can demonstrate a good understanding of the quality scale and cost trade-offs of these technologies.

You are comfortable operating in ambiguous, fast-moving environments and helping shape technical direction from the ground up

You communicate effectively across engineering, product, and leadership stakeholders

You have experience leading complex technical initiatives that span multiple teams or organizational areas

You care deeply about collaboration, mentorship, and creating alignment across teams

Exposure to search infrastructure, recommendation systems, or audio processing systems is a strong plus

Experience working in startup environments or early-stage product areas where ownership and adaptability are critical is highly valued

Where You'll Be

This role is based in New York

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $203,410–290,586 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ML Infrastructure]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[ML Infrastructure, Distributed Systems, Java, Python, Scala, LLMs]]></skills>
    <expirationdate>2026-07-27T12:32:59.334Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Staff Engineer - Content Intelligence Infrastructure]]></title>
    <date>2026-05-28T12:29:37.164Z</date>
    <referencenumber>cmpqijpue008b3sgntqzoj4qc</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/staff-engineer-content-intelligence-infrastructure-5112696c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[The Experience team designs Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

The Content Intelligence Product Area is a core part of Spotify’s Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise.

We’re now looking for a Staff Engineer to help build and scale foundational infrastructure powering content understanding across Spotify. This role sits at the intersection of backend systems, ML infrastructure, distributed data systems, and AI-enabled platform capabilities. You’ll help shape infrastructure strategy across the product area while partnering with senior engineers, product leaders, and cross-functional teams to execute on long-term technical investments.

What You'll Do

Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify’s content intelligence capabilities

Build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines

Partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area

Drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability

Improve infrastructure supporting AI and LLM-enabled workflows, including podcast and audiobook transcript processing, metadata enrichment, and content understanding systems

Develop reliable and cost-efficient systems for high-throughput content processing and real-time intelligence use cases

Collaborate across organizational boundaries to drive alignment, technical quality, and long-term platform investments

Mentor engineers and contribute to raising the engineering bar across the organization

Who You Are

You have extensive experience building and scaling large-scale backend and infrastructure systems in distributed environments

You have strong technical judgment and can balance scalability, reliability, cost, and product needs effectively

You have strong programming experience in Java, Python, and/or Scala

You understand the challenges of building systems that process high-volume multimedia or real-time workloads

You have worked with systems and products that use AI and LLMs at large scale and can demonstrate direct experience in building such products. You can demonstrate a good understanding of the quality scale and cost trade-offs of these technologies.

You are comfortable operating in ambiguous, fast-moving environments and helping shape technical direction from the ground up

You communicate effectively across engineering, product, and leadership stakeholders

You have experience leading complex technical initiatives that span multiple teams or organizational areas

You care deeply about collaboration, mentorship, and creating alignment across teams

Exposure to search infrastructure, recommendation systems, or audio processing systems is a strong plus

Experience working in startup environments or early-stage product areas where ownership and adaptability are critical is highly valued

Where You'll Be

This role is based in London or Stockholm

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ML Infrastructure]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[ML Infrastructure, Distributed Systems, Java, Python, Scala, LLMs]]></skills>
    <expirationdate>2026-07-27T12:29:37.164Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Deployment Engineer, Large Enterprise]]></title>
    <date>2026-05-28T10:23:32.660Z</date>
    <referencenumber>cmprxzv5u009wd4ee626gns76</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-deployment-engineer-large-enterprise-a6586e6a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[About the team

The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership.

As an AI Deployment Engineer you will help customers across various industries transform their businesses through applications such as customer service automation, content generation, and entirely new offerings powered by our most advanced models.

This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. 

About the role

We are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realise tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritize high-value use cases, and guide projects from early prototyping through enterprise-grade production deployments.

You will take a holistic view of each customer’s architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment.

This role is based in our London office. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees.

In this role, you will:

Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.

Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap.

Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.

Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.

Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.

Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.

Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

You’ll thrive in this role if you:

Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.

Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.

Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.

Possess hands-on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.

Take end-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success.

Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike.

Thrive in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Generative AI]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Generative AI, GenAI, ChatGPT, APIs, Machine Learning, Python, JavaScript]]></skills>
    <expirationdate>2026-07-27T10:23:32.660Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Solutions Engineer, Large Enterprise]]></title>
    <date>2026-05-28T08:48:02.041Z</date>
    <referencenumber>cmpgih0bk030iv2xq9tme6edn</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/solutions-engineer-large-enterprise-9a0e61f4</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Paris]]></city>
    <country>FR</country>
    <description><![CDATA[About the Team

The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer, you’ll help companies across industries transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.

About the Role

We are seeking an experienced pre-sales solutions engineer to partner with our Large Enterprise customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Sales, Customer Success, Security, and Product teams.

This role is based in our Paris office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.

Demonstrate how leveraging ChatGPT and the OpenAI API can meet customers’ business needs and deliver substantial business value, including, but not limited to, building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.

Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.

Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

You’ll thrive in this role if you:

Have 5+ years of experience in a technical pre-sales role, managing C-level technical and business relationships with complex global organizations.

Have full professional fluency in both French and English.

Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.

Have industry experience in programming languages like Python or Javascript and working with REST APIs.

Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.

Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in t]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, Python, JavaScript, APIs, Generative AI, Cloud]]></skills>
    <expirationdate>2026-07-27T08:48:02.041Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Platform Engineer]]></title>
    <date>2026-05-28T07:22:37.547Z</date>
    <referencenumber>cmpry052z00d0d4ee3synmm9u</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/analytics-platform-engineer-db748b88</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the role

Take data foundations from 0→1 on the bleeding edge of AI data.

As one of Cursor’s first Data Platform Engineers, you’ll own the systems that make company-wide data work reliable, secure, and easy to build on. You’ll work hands-on across our data lakehouse architecture to support a fast-growing data team and uniquely data-savvy business stakeholders. You’ll partner with Data, Product, GTM, and AI research teams to turn messy, repeated data needs into durable infrastructure.

Cursor is already operating at enormous scale, but our data platform is still early. This role is for someone who wants to own the low-level foundations: optimizing TB-scale ingestion, improving resource usage and alerting, codifying access control with infra-as-code, and making pragmatic build-vs-buy decisions across the modern data stack.

Example projects

Own and optimize the raw data layer: Improve the performance, reliability, and cost profile of TB-scale first-party data ingestion so downstream analysis, experimentation, and ETL are faster and more trustworthy.

Scale orchestration for a growing data team: Make Dagster and related orchestration infrastructure reliable, observable, and ergonomic for a large base of data scientists, analytics engineers, and adjacent technical users.

Expand and secure agentic data capabilities: Enable new entrypoints and capabilities for agents to do data work, all while keeping security and privacy requirements high.

What you’ll do

Own, operate, and improve Cursor’s Databricks and lakehouse infrastructure as the data team size and data volume scales.

Build and optimize ingestion systems for first-party product data and 3rd-party business systems.

Ensure observability, alerting, and operational standards across all data infrastructure layers.

Evaluate and roll out data tooling where it solves real stakeholder needs, including BI platforms, catalogs, ingestion tools, and reverse ETL systems.

Partner with technical and non-technical partners to understand recurring data problems and turn them into scalable platform solutions.

You may be a fit if

You have 4+ years of full-time data platform engineering experience.

You have built up modern data stacks at a low level, not just written jobs on top of it.

You have scaled performant ingestion of billions of data per day.

You’re the go-to person for data pipeline orchestration infrastructure used by large user bases; Dagster experience is a strong plus.

You want to build foundational systems at a company where data-savvy users will immediately push them to their limits.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cursor, ETL, Databricks]]></skills>
    <expirationdate>2026-07-27T07:22:37.547Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Actuator Design Engineer]]></title>
    <date>2026-05-28T04:52:20.209Z</date>
    <referencenumber>cmpry00j100bcd4eem0m72hyv</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/actuator-design-engineer-ebcb079f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives.

About the Role

We are seeking a Senior Actuator Design and Integration Engineer to lead the development of custom electromechanical actuators for advanced robotic systems. You will own actuator development from early architecture and concept generation through prototype validation and system integration, partnering closely with mechanical, electrical, controls, firmware, reliability, and manufacturing teams.

This role focuses on the design, integration, and validation of precision electromechanical systems, including motors, transmissions, sensing, structural components, and thermal architectures. You will help drive actuator development across the full engineering lifecycle while establishing scalable design, test, and integration practices for future robotic platforms.

This role is based in San Francisco, CA, and requires in-person presence 4 days a week.

In this role, you will

Lead the architecture, design, and integration of custom robotic actuators, including motors, transmissions, sensing, thermal systems, structural components, and packaging.

Define actuator requirements and system-level trade studies around torque density, bandwidth, efficiency, thermal performance, backdrivability, inertia, reliability, manufacturability, and cost.

Design precision electromechanical assemblies with strong attention to tolerances, alignment, load paths, thermal expansion, sealing, wear, and serviceability.

Drive actuator integration into robotic systems, partnering closely with controls, firmware, electrical, and robotics software teams to optimize closed-loop performance.

Develop and evaluate architectures with integrated sensing and encoder strategies.

Build and validate prototypes through hands-on bring-up, debugging, characterization, and iterative refinement.

Develop test methodologies and characterization infrastructure for actuator performance, reliability, durability, and failure analysis.

Analyze test data to identify limitations, failure modes, and opportunities for design improvement.

Collaborate with manufacturing and supplier partners to transition designs from prototype to scalable production-ready assemblies.

Support DFM, DFA, DFT, calibration, and assembly strategies for electromechanical subsystems.

Contribute to actuator sourcing strategy, vendor qualification, prototype builds, and supply-chain development.

Document designs, interfaces, validation results, and engineering decisions to support long-term maintainability and production readiness.

Help establish engineering standards, integration practices, and development workflows for future robotic platforms.

You might thrive in this role if you

Have strong intuition for designing high-performance electromechanical systems and understanding the tradeoffs between performance, robustness, manufacturability, and cost.

Enjoy operating at both subsystem and system levels, balancing actuator-level optimization with overall robot integration needs.

Are highly hands-on and enjoy building, debugging, instrumenting, and testing hardware directly.

Can move fluidly between first-principles analysis, rapid prototyping, and production-oriented engineering decisions.

Are comfortable working in fast-moving environments with evolving requirements and aggressive technical goals.

Have a strong sense of ownership and proactively drive cross-functional alignment to unblock progress.

Communicate clearly across disciplines and can collaborate effectively with research, controls, manufacturing, and operations teams.

Care deeply about engineering rigor while maintaining the ability to iterate quickly.

Are motivated by enabling the next generation of intelligent robotic systems through differentiated hardware capabilities.

Preferred qualifications

Bachelor’s degree in Mechanical Engineering, Robotics, Mechatronics, or a related field

7+ years of experience designing electromechanical systems, robotic actuators, or precision mechatronic hardware.

Experience developing actuators for robotics, automation, aerospace, automotive, or other high-performance dynamic systems.

Strong understanding of motors, transmissions, bearings, encoders, structural design, thermal management, and precision mechanical integration.

Familiarity with actuator sensing architectures, including encoder integration and calibration strategies.

Experience designing for prototype and production manufacturing processes including machining, casting, molding, and assembly.

Proficiency with CAD and PLM tools such as NX and Teamcenter or equivalent systems.

Expe]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-27T04:52:20.209Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Electrical Engineer, Robotics]]></title>
    <date>2026-05-28T02:52:31.757Z</date>
    <referencenumber>cmprxzvxi00a0d4eedro2mnr3</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/electrical-engineer-robotics-b5aa03d6</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives.

About the Role

We're looking for an experienced Electrical Engineer to help develop the next generation of robotic systems at OpenAI. This role spans the full lifecycle of hardware development, from early concept exploration and prototyping through circuit design, component selection, PCB layout, bring-up, integration, and deployment.

Engineers in this role are expected to independently drive significant hardware efforts from initial concept through deployment. You will translate ambiguous goals into concrete engineering plans, make key technical decisions, coordinate closely with cross-functional partners, and own execution through the iterations required to deliver a successful system.

Many of the systems we build are still being defined. You will work closely with mechanical, firmware, software, controls, and research teams to evaluate new ideas, develop novel hardware, and integrate it into robotic platforms. Success in this role requires strong engineering judgment, comfort operating in ambiguous spaces, and the ability to balance rapid experimentation with the discipline required to build reliable and scalable systems.

The ideal candidate enjoys building things from first principles and is equally comfortable evaluating a new technology, debugging a prototype on the bench, reviewing PCB layout details, and driving system integration efforts. You should be able to move quickly when appropriate, but also know when investing in robustness, simplicity, or infrastructure will create leverage for future development.

This role is based in San Francisco, CA, and requires in-person presence 4 days a week.

In this role, you will:

Own significant portions of the electrical architecture for compact, highly integrated robotic and electromechanical systems, including sensing, communication, power distribution, and actuator interfaces.

Design and implement compact electronics spanning circuit design, component selection, PCB layout, bring-up, validation, and deployment.

Build and validate hardware in integrated robotic systems, driving issues from first observation through root cause and design resolution.

Partner closely with mechanical, firmware, software, controls, manufacturing, and research teams to deliver coherent system-level solutions.

Make thoughtful engineering tradeoffs across performance, size, power, reliability, manufacturability, and iteration speed.

You might thrive in this role if you:

Have 6+ years of experience developing electrical systems for robotics, consumer electronics, medical devices, wearables, cameras, or other tightly integrated electromechanical products.

Have personally owned hardware from concept through PCB layout, bring-up, validation, and deployment.

Enjoy designing compact, high-density electronics that must fit within severe mechanical constraints.

Have experience with technologies such as BGAs, rigid-flex assemblies, fine-pitch interconnects, micro-coax, FPCs, dense connector systems, or similar packaging approaches.

Can reason across electrical, firmware, and mechanical boundaries when making design decisions.

Are comfortable taking ownership of loosely defined problems and turning them into working systems with limited direction.

Have partnered closely with cross-functional teams to translate product goals into practical hardware systems.

Enjoy building and validating integrated prototypes where mechanical, electrical, firmware, and sensing systems are developed together.

Enjoy collaborating closely with and supporting the growth of other engineers on the team.

Additional, preferred qualifications:

Experience with GMSL, MIPI/CSI, FPD-Link, or other high-speed camera interfaces.

Experience with multi-board robotic or electromechanical systems that include distributed sensing, actuation, and real-time communication.

Experience bringing hardware through EVT/DVT-style builds, low-volume production, or contract-manufacturer-supported builds.

Familiarity with writing bring-up, test, or diagnostic firmware in C, C++, Rust, or Python.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Rust]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Rust, Python]]></skills>
    <expirationdate>2026-07-27T02:52:31.757Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[US Payroll Operations]]></title>
    <date>2026-05-27T22:11:02.591Z</date>
    <referencenumber>cmpry00ly00bsd4eeritdlzxc</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/us-payroll-operations-727ea3a4</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. OpenAI’s Payroll team is responsible for timely and accurate processing of payroll and ensuring compliance with all statutory regulations.

About the Role

At OpenAI, payroll is not a back-office function — it is mission-critical infrastructure. We are seeking a seasoned US Payroll Operations expert to scale, and continuously improve the payroll and payroll-support ecosystem that serves one of the fastest-growing and most technically sophisticated organizations in the world.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Process biweekly payrolls for 5,000+ US employees, ensuring accurate and timely payroll delivery for exempt and non-exempt populations while maintaining compliance across federal, state and local regulations.

Support payroll activities related to mergers &amp; acquisitions, including final payroll processing, tax account closures, W-2 reporting, payroll record retention, compliance requirements and payroll integration or wind-down activities.

Lead day-to-day workflows with outsourced payroll/BPO partners to ensure SLAs are met, quality standards are upheld and identify opportunities to improve quality, efficiency and controls.

Deliver exceptional employee support by resolving payroll inquiries with a strong service mindset, ensuring clear communication, timely resolution and adherence to established SLAs.

Drive continuous process improvement through automation, AI-enabled solutions, workflow redesign and system optimization, reducing manual effort while enhancing accuracy, compliance and employee experiences.

Create and maintain process documentation, SOPs and process maps to support scalable payroll operations and audit readiness.

Partner closely with HR, Benefits and other cross-functional teams to ensure clean upstream inputs and accurate downstream reporting.

Create and maintain employee-facing payroll resources, knowledge base articles and self-service tools that improve transparency, reduce inquiry volume and improve the employee experience.

You might thrive in this role if you have:

7+ years of progressive experience in payroll operations, preferably in a fast-paced or high-growth environment.

Strong working knowledge of U.S. federal, state, and local payroll regulations, including employee mobility, multi-state taxation and standard payroll practices.

Hands-on experience with Workday Payroll required. ADP SmartCompliance experience is a plus.

Ability to independently manage multiple competing priorities, take ownership of outcomes, and deliver high-quality work under tight deadlines.

Strong analytical and problem-solving skills with a high attention to detail.

Clear and concise communication skills, with the ability to partner effectively with internal and external stakeholders.

Bachelor's degree in Finance, Accounting, HR, or a related field, or equivalent practical experience. CPP certification is strongly preferred.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public info]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Workday]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Workday]]></skills>
    <expirationdate>2026-07-26T22:11:02.591Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Program Manager - IT Operations]]></title>
    <date>2026-05-27T21:46:44.222Z</date>
    <referencenumber>cmpry000r00acd4eed7rv88gc</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/program-manager-it-operations-55a7cd05</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Employee Technology &amp; Experience (ETX) team is responsible for delivering a world-class internal technology experience that enables employees to do their best work. We support and operate the employee-facing systems that keep the company moving quickly and efficiently.

ETX spans support, logistics, AV, identity, endpoints, SaaS administration, automation, enterprise tooling, and internal infrastructure operations. We partner closely with Security, Engineering, Workplace, Finance, People, and other teams to keep OpenAI’s internal technology reliable, scalable, and moving at the pace of the company.

About the Role

We are hiring a Program Manager to help scale how IT operates across OpenAI. This role will lead complex cross-functional programs that improve operational maturity, streamline how teams work together, and turn high-impact initiatives into durable operational capabilities. You will work across IT, Security, Engineering, Workplace, and other functions to drive alignment, remove friction, and help build the operational foundation needed to support OpenAI’s rapid growth.

You’ll be responsible for:

Lead cross-functional operational programs that improve scalability, consistency, and operational maturity.

Drive operational excellence initiatives across IT Support, employee lifecycle operations, meeting room and calendaring services, onsite support, vending, and research support environments.

Build operating models, readiness plans, escalation paths, governance cadences, and success metrics for complex operational programs.

Partner with technical teams to ensure new deployments, infrastructure investments, and internal platforms are operationally ready and sustainably supported at scale.

Drive high-priority operational programs supporting company growth, including infrastructure expansion, operational integrations, and other emerging initiatives.

Improve operational visibility, stakeholder alignment, and coordination across long-running cross-functional initiatives.

Create clarity across complex operational programs by establishing clear ownership, execution plans, operational accountability, and durable follow-through.

Own intake, prioritization, coordination, and completion of operational work originating from cross-functional teams and stakeholders.

We’re looking for someone with:

10+ years of program management experience leading complex cross-functional initiatives in high-growth, fast-moving environments.

Experience building and scaling operational processes, service models, and operating frameworks across technical and operational teams.

A strong track record improving internal operations, workplace technology, support environments, or other large-scale service-oriented programs.

Excellent judgment and execution skills, with the ability to drive prioritization, alignment, and sustained momentum across multiple teams and competing demands.

Strong communication and stakeholder management skills, with the ability to operate effectively with both technical and non-technical partners.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected informati]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Logistics]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Logistics]]></skills>
    <expirationdate>2026-07-26T21:46:44.222Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Cyber Frontier]]></title>
    <date>2026-05-27T21:26:59.220Z</date>
    <referencenumber>cmpry00bc00aod4eezxs4hc82</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-cyber-frontier-555c102b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Our Cyber team builds AI systems and products that help trusted defenders understand and respond to cyber threats while improving the safety and reliability of frontier models in security-sensitive settings. 

The team works across product engineering, model training, evaluations, safeguards, and deployment to make advanced cyber capabilities useful to defenders and responsibly managed. We collaborate closely with Safety/Preparedness, Research, Security, Legal, Communications, GTM, and external partners across OpenAI’s broader cyber work.

About the Role

We’re looking for research and software engineers to join Codex Cyber. You’ll help define and ship security products, work with trusted defenders and customers, shape model training and access patterns, and build research and evaluation systems for assessing cyber capabilities, validating safeguards, and improving training data. This role is hands-on and cross-functional, connecting product launches, model development, safety work, and real-world security use cases.

In this role, you will:

Help define and execute the technical roadmap for Codex Cyber’s security products, including evaluations, safeguards, trusted-defender workflows, and deployment decisions.

Work with trusted defenders, customers, and partner teams to understand cyber use cases, evaluate risk, and turn feedback into product and research priorities.

Shape cyber-specific model training and access patterns, including data, evaluations, validation, and deployment criteria.

Build and validate systems for measuring cyber capabilities, monitoring misuse risk, and proving safeguards work in practice.

Collaborate with Safety/Preparedness, Research, Security, Legal, Communications, Go-to-Market, and external partners on company-wide cyber priorities.

Translate frontier cyber research into launch-ready tools, operational playbooks, and durable infrastructure for Codex and security products.

You might thrive in this role if you:

Enjoy 0 -&gt; 1 environments, can navigate ambiguity, are excited to build security products that bring frontier AI capabilities to trusted defenders responsibly.

Can move fluidly between product launches, customer and defender partnerships, model training, evaluation science, and security research.

Have strong programming skills in Python, TypeScript/JavaScript, or similar languages, with the judgment to build reliable systems in ambiguous, high-stakes domains.

Think clearly about cyber capability, misuse risk, access patterns, safeguards, and deployment tradeoffs in high-stakes environments.

Have experience in ML systems, security products, cyber evaluations, model training, safety engineering, or trusted customer deployments.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and req]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, Python, TypeScript, JavaScript, ML Systems]]></skills>
    <expirationdate>2026-07-26T21:26:59.220Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Support Operations Systems Lead]]></title>
    <date>2026-05-27T19:03:20.023Z</date>
    <referencenumber>cmpry052m00cyd4eezjltjzkv</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/support-operations-systems-lead-e186267a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the role

We’re hiring a Support Operations Systems Lead to help own the systems, workflows, and operating rhythms that keep User Operations running reliably at scale.

This is a hands-on technical support operations role for someone who can move fluidly between live triage of our projects, backlog management of internal requests, systems health, stakeholder communication, and end-to-end program ownership. You’ll work across ticketing workflows, routing logic, queue health, labeling taxonomy, escalation paths, workforce signals, and internal tooling requests.

The ideal person is more technical than a traditional operations lead, more hands-on than a traditional TPM, and less software-engineering-heavy than a dedicated SWE. You should be comfortable investigating messy operational issues, making or coordinating safe system changes, pushing back on unclear requests, and turning recurring problems into durable improvements.

What you’ll do

Own day-to-day operations for core support systems, including ticketing workflows, routing, queues, labels, taxonomy, escalations, and related tooling.

Triage urgent operational issues as they arise, especially when system behavior, workforce distribution, queue health, or SLA risk looks off.

Manage intake, prioritization, and follow-through for systems requests from support managers, TSEs, operations leads, engineering, product, and other internal teams.

Help maintain the team’s roadmap by distinguishing one-off fixes from broader system improvements, surfacing recurring pain points, and pushing back on low-leverage work.

Drive smaller technical and operational programs end-to-end, being responsible for discovery, scoping and execution, rollout, documentation and success metrics.

Partner with engineering, data, IT, and support leaders to debug issues, validate changes, improve monitoring, and prevent repeat failures.

Use Cursor and AI-native workflows to reduce manual toil, investigate issues, summarize signals, draft documentation, test changes, and improve how the team operates.

You may be a fit if

You have experience in support operations, systems operations, technical program management, or a similarly cross-functional technical systems role.

You are comfortable working close to operational systems such as ticketing platforms, routing workflows, queue configuration, labels/taxonomies, dashboards, Slack workflows, and internal tools.

You are technical enough to investigate system issues, read configuration or code, and partner effectively with engineers, even if you are not primarily a software engineer.

You are excellent at triage and prioritization: when several things are broken or ambiguous, you can quickly determine what is urgent, what needs investigation, what needs escalation, and what should become a longer-term fix.

You can own work end to end: clarify the problem, align stakeholders, sequence the work, communicate tradeoffs, launch safely, and measure whether the change worked.

You are comfortable pushing back thoughtfully and can tell stakeholders “not yet,” “not this way,” or “this should be part of a broader fix” while maintaining trust.

You are energized by a role that blends firefighting with systems-building, and you have a strong bias toward action, clarity, and continuous improvement.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cursor, Slack]]></skills>
    <expirationdate>2026-07-26T19:03:20.023Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[HR Business Partner]]></title>
    <date>2026-05-27T18:23:39.287Z</date>
    <referencenumber>cmpry00ku00bmd4eeykngqsb8</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/hr-business-partner-7baa2467</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About this Team

The HR Business Partner (HRBP) team at OpenAI partners with leaders to navigate complex organizational and talent decisions where the right path is not always obvious. We are building a higher-leverage HRBP model: staying close enough to the business to understand its realities, while focusing our time on the work that requires judgment, influence, context, and leadership partnership.

This role is for an HRBP who can diagnose ambiguous situations, translate business strategy into organizational and talent decisions, coach leaders through consequential choices, and help build the operating rhythms that enable scale. While the role spans both strategic and operational work, the bar is not to be helpful on everything. The bar is to improve decision quality, strengthen leadership capability, and increase organizational effectiveness.

We operate with urgency, empathy, and sound judgment. We value sincerity, intellectual honesty, and collaboration over ego, and focus relentlessly on creating meaningful impact.

About this Role

This role is part of a shared hiring pathway for HRBPs at OpenAI. Instead of hiring directly for a single team, we evaluate candidates holistically first, then identify the best fit across our organization as you advance. This approach ensures alignment between your skills, interests, and where our needs are greatest—whether that’s partnering with technical leaders in engineering, supporting product teams driving user impact, or enabling operational excellence across business functions.

As a Senior HR Business Partner, you’ll be a trusted advisor to leaders and their teams. You’ll help set direction for how we organize, grow, and lead—stepping in as both a sounding board and a problem-solver. This role mixes strategic advising with hands-on support: you’ll design better systems, coach managers through complex situations, and help us make trade-offs that keep our people and mission in balance. This is an individual contributor role reporting to an HRBP Lead.

In this role, you will:

Shape high-performing, resilient teams: Partner with leaders to design structures, talent plans, and ways of working that enable strong performance and sustainable growth.

Collaborate for a seamless experience: Partner with fellow HRBPs, COEs, and cross-functional leaders to build an employee experience rooted in humanity, humility, and impact.

Evolve People programs: Strengthen performance, engagement, and retention processes—building solutions that are lightweight, scalable, and aligned with how OpenAI operates.

Guide and develop managers: Offer candid, actionable feedback and help managers build leadership muscle across their teams.

Anticipate and act fast: Stay close to the business to identify challenges early, diagnose root causes, and deliver lasting solutions that adapt as priorities shift.

Lead change that matters: Drive organizational changes with empathy, clarity, and rigor—finding creative paths forward when playbooks don’t exist.

You might thrive in this role if you have:

Deep HRBP expertise: 7–10+ years of HR experience, including at least 5 years as an HR Business Partner in high-growth or complex environments.

Strategic partnering: Able to see the big picture, guide leaders through tough trade-offs, and adapt quickly when priorities shift.

Multipliers who create impact: Skilled at giving candid feedback with care and building leadership capabilities across organizations.

Scrappy problem solving: Uses sound judgment to diagnose challenges, test creative solutions, and chart a path forward without a playbook.

Change leadership with calm &amp; clarity: Brings steadiness, empathy, and influence in moments of ambiguity or transition.

High integrity: Known for discretion, fairness, and trustworthiness when the stakes are high.

Workplace &amp; Location

This role is based in our San Francisco, New York, or Seattle office, and we aren’t considering remote applications at this time. We do encourage you to apply even if you prefer a fully remote role as location factors may change over time.

We offer relocation support to new employees, and we use a hybrid model: three days in the office per week with optional work from home on Thursdays and Fridays.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or ot]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-26T18:23:39.287Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Security Engineer]]></title>
    <date>2026-05-27T17:58:52.364Z</date>
    <referencenumber>cmpry041b00csd4eeqq65l30w</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-security-engineer-db922673</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About the RoleWe’re looking for a Product Security Engineer to join our team and help strengthen how security is built into Supabase’s products, platform, and engineering workflows as we continue to scale. You’ll work closely with software engineers, infrastructure teams, and technical leadership, helping us proactively reduce risk earlier in the development lifecycle and ship securely by default.

This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. Success in this role means improving the security posture of the product without becoming a blocker to speed, autonomy, or builder velocity.

What You’ll Be Responsible forIn this role, you’ll:

Identify and close gaps across application security, secure design review, and vulnerability management.

Conduct threat modeling, secure design reviews, and code reviews to identify practical remediation paths.

Partner closely with engineering teams to provide product-focused security expertise and shape a modern security program.

Mature how we think about security in a developer-first environment, balancing pragmatism with strong technical judgment.

Distinguish between theoretical risk and material business risk to prioritize security efforts effectively.

Improve security posture through scalable mechanisms like tooling, automation, secure defaults, and developer-friendly guardrails.

Support security incident response by helping triage, investigate, and coordinate remediation for product and platform security issues.

Participate in security on-call rotations, helping respond to urgent security events with clear judgment and calm execution.

Help manage and mature our bug bounty and vulnerability disclosure processes, including triage, validation, prioritization, and coordination with engineering teams.

You Might Be a Good Fit If YouHave strong experience in product security, application security, or security engineering.

Are comfortable working with cloud-native, developer tools, SaaS, platform, or infrastructure products.

Communicate clearly across both technical and non-technical audiences, especially in a written, asynchronous environment.

Are energized by solving real-world problems for developers and navigating ambiguity while moving quickly.

Possess a deep understanding of application security fundamentals, including auth, session management, APIs, and secrets handling.

Have experience with vulnerability triage, bug bounty programs, responsible disclosure, or security incident response.

Are comfortable participating in potential security on-call rotation and can balance urgency, risk, and practical remediation.

Have experience with or interest in Postgres, Kubernetes, or building security guardrails that enable rather than enforce.

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Hiring ProcessWe keep things simple, async-friendly, and respectful of your time:

Apply – Our team will review your application.

Intro Call – A short video chat to get to know each other.

Interviews – Up to four calls with:

Team Leads

Future teammates

Someone cross-functional from product, growth, or engineering (depending on the role)

Someone from our leadership/founding team

Decision – We may follow up with a final question or go straight to offer.

All communication is remote and we aim to move fast.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud, APIs, Postgres, Kubernetes]]></skills>
    <expirationdate>2026-07-26T17:58:52.364Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Sales Compensation Manager]]></title>
    <date>2026-05-27T17:23:17.531Z</date>
    <referencenumber>cmpry04ne00cud4ee8k4tmjxv</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/sales-compensation-manager-e5c31f13</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the roleOur GTM org is scaling fast. As we expand into new segments and geographies, the number of roles and individuals on a sales compensation plan is growing with it. You'll be designing plans from the ground up, navigating ambiguity, and building the process infrastructure that makes accurate, timely commission payouts possible at scale. If you are searching for a role where you can directly impact how our sales org is motivated and rewarded, this is it.

The right person will be able to wear multiple hats, equally comfortable owning the commission calculations, the plan design, the stakeholder conversations, and enablement. If you've been the person on a small comp team who is able to balance the entire sales compensation process, you'll feel right at home.

What you’ll doDesign, build, and administer variable compensation plans across GTM, globally

Implement metrics for the plans that are specific, measurable, and align with company priorities

Own day-to-day commissions administration and calculations, ensuring payments are accurate and timely

Collaborate with Finance on payout reporting, commission accruals, and ad hoc analysis

Lead stakeholder conversations with sales leaders to understand team goals and design plans that drive the right behaviors

Build process documentation, enablement materials, and FAQ resources

Partner with RevOps on role strategy, territory formation, and quota rollout so that each rep's book and quota are correctly reflected in their plan

Drive Q3 planning: gather Q2 leader feedback, identify what needs to change, and rebuild plans before the quarter launches

You may be a fit ifYou've owned sales compensation end-to-end, design, administration, tooling, and stakeholder management, ideally as the primary for multiple teams within GTM

You're fluent in Excel and/or Google Sheets and know how to build reliable, auditable payout calculations from scratch

You've worked with a comp tool (CaptivateIQ, Xactly, Varicent or similar)

You can translate comp plan mechanics into plain language for reps and sales leaders who aren't deep in the details

You're comfortable with ambiguity, fast-changing priorities, and an environment where the process is still being built

You have a background in Sales Compensation or have experience working within RevOps and Finance

You bring both operational rigor and creative thinking to the work]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Excel]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Excel, Google Sheets, Cursor]]></skills>
    <expirationdate>2026-07-26T17:23:17.531Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Scientist, FinEng]]></title>
    <date>2026-05-27T17:09:17.863Z</date>
    <referencenumber>cmprxzzvy00a6d4ee6l91055f</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/data-scientist-fineng-1105fffe</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing &amp; packaging, checkout, payments, subscriptions, and the financial infrastructure behind them.

We operate at the intersection of Product, Engineering, Risk, Finance, and Go-to-Market to ensure that paying for OpenAI products is seamless, reliable, scalable, and globally optimized. As OpenAI expands internationally and across product surfaces, FinEng plays a critical role in enabling durable, efficient revenue growth.

About the Role

As Manager of Data Science for Financial Engineering, you will lead the measurement, experimentation, and optimization strategy that powers OpenAI’s monetization infrastructure.

You will define how we measure and improve checkout, payments, subscriptions, and pricing systems globally—balancing conversion, risk, cost, reliability, and user experience. You will build and lead a high-leverage team responsible for establishing source-of-truth metrics, scaling experimentation, and driving executive-level revenue insights.

This role is both strategic and deeply technical: you’ll shape the long-term financial data architecture while guiding day-to-day experimentation that directly impacts revenue and international scale.

This role is based in San Francisco, CA. We use a hybrid model (3 days/week in office) and offer relocation support.

In this role, you will

Own the FinEng Measurement Strategy

Define the north-star revenue and monetization metrics across checkout, payments, subscriptions, and pricing.

Establish guardrails across conversion, fraud/risk, payment latency, cost-to-serve, and reliability.

Partner with Finance to ensure alignment between product metrics and financial reporting.

Lead and Scale Experimentation

Build and oversee the experimentation program for in-house checkout and subscription systems.

Define staged rollouts, guardrails, and offline incrementality methods when online testing is constrained.

Raise the bar on causal rigor across monetization decisions.

Build and Lead the FinEng DS Team

Hire, mentor, and grow a team of high-impact data scientists.

Set the technical direction for experimentation, causal inference, and monetization analytics.

Create operating rhythms that translate insights into shipping decisions.

Drive Global Monetization Optimization

Lead analytics for international payment method expansion, FX strategy, and pricing localization.

Reduce involuntary churn through intelligent retry logic, targeted nudges, and payment optimization.

Develop elasticity frameworks and pricing models that inform packaging and long-term revenue strategy.

Build Durable Data Infrastructure

Partner with FinEng Data Engineering to create source-of-truth datasets and operational visibility.

Establish SLIs/SLOs, alerting, and proactive monitoring across payment flows.

Ensure analytics scales with product and geographic expansion.

You might thrive in this role if you have

7+ years in data science, experimentation, or product analytics, including leadership experience

Experience leading monetization, payments, checkout, or subscription analytics

Deep fluency in SQL and Python, and strong causal inference instincts

A track record of building experimentation platforms or scaling testing programs

Experience managing or mentoring high-performing data scientists

Strong executive communication skills and ability to influence cross-functional leaders

You could be an especially strong fit if you have

Payments infrastructure or PSP experience (bank rails, disputes, fraud/risk systems)

Background in offline incrementality, uplift modeling, CUPED, or counterfactual evaluation

Experience with global payment methods, FX strategy, and pricing optimization

Built operational analytics systems (alerting, SLIs/SLOs, monitoring)

Partnered closely with Finance or revenue accounting teams

This becomes one of the most leverage-heavy roles in the company because it directly impacts revenue durability, international expansion, and customer experience simultaneously.

  

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Flows]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Flows, SQL, Python]]></skills>
    <expirationdate>2026-07-26T17:09:17.863Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Technical Program Manager, Rack Delivery]]></title>
    <date>2026-05-27T16:44:18.933Z</date>
    <referencenumber>cmpry008x00akd4eebpsd8wfl</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/technical-program-manager-rack-delivery-7c920880</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote - US]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

The Stargate organization is responsible for building and scaling the physical infrastructure systems that power OpenAI’s next generation of AI training and inference platforms. This includes the manufacturing, deployment, and operational execution required to bring large-scale compute infrastructure online globally.

The team operates at the intersection of data center infrastructure, hardware manufacturing, supply chain, deployment operations, and systems planning. We partner closely across Infrastructure Strategy, Manufacturing Operations, Capacity Planning, Supply Chain, Deployment, and Engineering to execute one of the largest infrastructure scale-outs in the industry.

About the Role

We are seeking a Technical Program Manager, Rack Delivery to drive operational execution across rack manufacturing, site readiness, and deployment coordination for Stargate infrastructure programs.

This role will serve as a key connective layer between manufacturing partners, deployment teams, and infrastructure readiness programs to ensure rack production and delivery timelines remain aligned with site availability and deployment sequencing. You will help manage operational execution across contract manufacturers (CMs), support build planning and RCCA processes, and coordinate deployment readiness across multiple concurrent infrastructure programs.

You will also partner closely with Demand Planning teams to translate strategic planning inputs into actionable SKU-level manufacturing and delivery schedules.

This role is ideal for someone who thrives operating across ambiguity, manufacturing operations, infrastructure deployment, and large-scale cross-functional execution.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation support.

Key Responsibilities

Drive cross-functional coordination between rack manufacturing, deployment operations, and site readiness programs.

Manage operational execution across rack contract manufacturers including CTB tracking, build planning, and escalations.

Coordinate rack delivery timelines against infrastructure deployment readiness milestones.

Partner with sustaining manufacturing engineering teams on RCCA tracking and operational issue resolution.

Translate strategic planning and deployment inputs into actionable SKU-level manufacturing and delivery schedules.

Drive execution across multiple concurrent deployment programs with shifting priorities and timelines.

Develop operational mechanisms, reporting, and tracking systems to improve manufacturing and deployment visibility.

Partner across Infrastructure Strategy, Deployment, Manufacturing Operations, Supply Chain, and Capacity Planning organizations.

Qualifications

7+ years of experience in technical program management, manufacturing operations, hardware operations, or infrastructure deployment.

Have experience managing large-scale hardware manufacturing or supply chain programs.

Are comfortable operating across manufacturing, logistics, deployment, and infrastructure readiness workflows.

Have experience working with contract manufacturers, build planning, or deployment execution.

Can drive structured execution in fast-moving and ambiguous environments.

Have strong operational rigor and escalation management skills.

Are highly cross-functional and can align technical and operational stakeholders effectively.

Communicate clearly across executive, operational, and engineering audiences.

Preferred Skills

Experience supporting hyperscale infrastructure or data center deployment programs.

Experience with rack infrastructure, server manufacturing, or hardware operations environments.

Familiarity with supply planning, SKU planning, or deployment forecasting.

Experience with ERP/MRP systems and manufacturing operations tooling.

Experience operating in AI infrastructure, cloud infrastructure, or large-scale hardware environments.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with ar]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Logistics]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Logistics, Cloud]]></skills>
    <expirationdate>2026-07-26T16:44:18.933Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Growth Marketing, Creative System and Optimization]]></title>
    <date>2026-05-27T16:14:38.356Z</date>
    <referencenumber>cmpry004p00agd4eevskou685</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/growth-cross-channel-creative-eaed4474</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering.

Our Product Growth (PG) team is a rapidly scaling functional area, accelerating growth by connecting out-of-product and in-product experiences into seamless journeys that acquire, retain, and re-engage users, unlocking ChatGPT’s transformative potential in users’ daily lives. We work cross-functionally with product, engineering, design, data science, finance, and marketing to unlock scalable growth levers and deliver measurable impact across diverse markets.

This team thrives on rapid testing, rigorous measurement, and creative problem solving, all while keeping user value at the center of our decision-making.

About the Role

You will own the performance creative system that drives user growth across both in-product and out-of-product channels. This role turns business opportunities, product understanding, user insight, and data into scalable, AI-powered creative systems across paid media (social &amp; search), lifecycle channels (email, push), in-product surfaces, and creator/influencer collaborations.

You will lead the full creative growth loop, hypothesis - brief - execution - measurement - learning - iteration - while partnering with Product and Engineering to define and build the underlying systems (e.g. dynamic content generation, automated asset production, experimentation and optimization tooling) that enable speed, personalization, and scale. You’ll work closely with Brand to stay aligned on narrative and positioning, and with internal teams, agencies, and creators to scale what works without sacrificing quality or velocity.

In this role, you will:

Own the performance creative system end-to-end across paid, lifecycle, in-product, and creator/influencer channels - defining the operating model that connects strategy, production,  experimentation, measurement, learning,  iteration.

Set the creative growth strategy and testing roadmap by turning product priorities and business goals into sharp hypotheses, test plans, and creative frameworks that scale across audiences and markets.

Translate insights into high-quality briefs partnering with Product, Data Science, Media, and Marketing to convert user insight + product value + performance signals into clear direction for internal teams, agencies, and creators.

Build compounding learning loops: establish a system where results are captured, codified, shared, and reused (what worked, why, where it generalizes), and where learnings influence both creative output and product/roadmap decisions.

Partner with Product &amp; Engineering to build the AI-powered creative system -  shaping requirements and prioritization for AI-powered capabilities (dynamic content, automated asset generation, experimentation tooling, optimization systems, measurement instrumentation).

Raise creative velocity and signals without sacrificing quality: improve cycle time, creative coverage, and experiment quality (clean tests, consistent taxonomy, strong measurement) so decisions get faster and more reliable over time.

Lead cross-functional collaboration and knowledge sharing: align stakeholders, drive decisions, unblock production, and ensure the creative pipeline stays healthy across product lines and launches in alignment  with overall marketing messaging

Scale influencer-led performance creative - define how we brief, produce, iterate, and measure creator content as a performance lever

You might thrive in this role if you:

8+ years owning growth outcomes in performance marketing, product-led growth, or growth strategy roles - with a track record of scaling what works (not just launching tests).

A strong creative and analytical hybrid: deep intuition for what performs across platforms and the rigor to turn that intuition into testable hypotheses and measurable learnings.

System-builder mindset: you’ve designed or materially upgraded a creative operating system

Expertise in performance creative craft across major channels (e.g., Meta/TikTok/YouTube/Reddit/Search) - hooks, formats, UGC/creator style, narrative structures, fatigue management, localization, and iteration strategy.

High fluency with measurement and experimentation: incrementality mindset, clean test design, interpreting mixed signals, and partnering effectively with DS

Ability to write briefs that produce great work: crisp problem framing, clear audience + insight, concrete creative directions, and unambiguous success metrics.

Experience scaling creator/influencer content for performance - sourcing strategy, creator management, paid amplification, iteration loops, and measurement tha]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT]]></skills>
    <expirationdate>2026-07-26T16:14:38.356Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Product Manager – Financial Engineering - Tax Solutions]]></title>
    <date>2026-05-27T14:36:29.792Z</date>
    <referencenumber>cmpqijpoa00893sgn3uwa9zlp</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-product-manager-financial-engineering-tax-solutions-93c4feb8</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

At Spotify, our Financial Engineering teams build and scale the internal systems that power global financial operations across a rapidly evolving business. Within the FinE Alliance, you’ll work closely with Tax, Treasury, Accounting, and Engineering partners to shape products that enable operational excellence, compliance, and automation at global scale. This role sits at the intersection of finance, product strategy, enterprise systems, and engineering, helping Spotify continuously improve how financial processes operate across regions and regulatory environments.

What You'll Do
Partner closely with Tax teams to agree on vision, strategy and roadmap, as well as understand tax processes, compliance requirements, reporting needs, and risk areas.
Own the product strategy and roadmap for Spotify’s tax technology ecosystem, balancing internal platform development with third-party SaaS solutions.
Drive discovery, prioritization, and execution across financial engineering initiatives that support tax operations, treasury processes, and regulatory reporting.
Translate complex financial and regulatory requirements into intuitive product experiences and actionable technical requirements.
Collaborate with Engineering, Data, Platform, and Finance teams to deliver secure, scalable, and well-integrated solutions.
Lead cross-functional conversations around trade-offs, dependencies, and long-term platform strategy while maintaining momentum on iterative delivery.
Partner with external vendors and SaaS providers to ensure reliable integrations, system performance, and operational continuity.
Build strong relationships across Finance leadership and become a trusted advisor on product direction, risks, and delivery planning.
Improve visibility, controls, and data quality across tax-related systems and workflows.
Champion user-centric product thinking while ensuring enterprise-grade governance, auditability, and scalability.

Who You Are
You have experience building or managing products within accounting, tax technology, fintech, ERP, or enterprise financial systems environments.
You are experienced partnering with Finance, Tax, Treasury, or Accounting stakeholders in global organizations.
You know how to translate complex operational or compliance requirements into clear product strategies, roadmaps, and delivery plans.
You are comfortable navigating ambiguity and balancing the needs of multiple stakeholders across technical and non-technical teams.
You have experience working with SaaS platforms such as NetSuite, Vertex, Oracle, SAP, or similar enterprise financial systems.
You have strong product management fundamentals, including backlog prioritization, product discovery, roadmap planning, and iterative delivery.
You care deeply about building scalable systems with reliable controls, integrations, and high-quality user experiences.
You are an excellent communicator who can simplify technical and financial complexity for different audiences.
You have experience working in hybrid technology environments that combine vendor platforms with internally built systems.
You thrive in collaborative, cross-functional environments and enjoy solving operational challenges through technology.

Where You'll Be

This role is based in London or Stockholm.
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[NetSuite]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[NetSuite, Oracle, Product Management]]></skills>
    <expirationdate>2026-07-26T14:36:29.792Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Strategy & Operations Lead, B2B Marketing]]></title>
    <date>2026-05-27T14:29:52.042Z</date>
    <referencenumber>cmprxzzzj00a8d4eem0fspdms</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/strategy-operations-lead-b2b-marketing-3793a4d5</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The B2B Marketing team is responsible for helping businesses understand, adopt, and get value from OpenAI's products. B2B marketing is a major and growing priority for OpenAI as we scale our work with companies, developers, and institutions around the world.

The team operates across field marketing, campaigns, customer storytelling, thought leadership, events, lifecycle programs, and executive communications. We partner closely with Sales, Product, Communications, Finance, Recruiting, and company leadership to build programs that drive durable growth across enterprise and business audiences.

About the Role

As a Strategy &amp; Operations Lead on the B2B Marketing team, you will help shape the operating system for one of OpenAI's fastest-moving and highest-priority marketing functions. You will serve as a trusted partner to B2B Marketing leadership, helping steer strategy, define operating priorities, manage budgets and headcount planning, and build the structures, processes, and communication mechanisms the team needs to scale.

This is a lead role for someone who can own ambiguous, high-impact scopes end to end: setting direction, building the plan, aligning stakeholders, driving execution, and shaping how operations works across the B2B Marketing team. You will work closely with Strategic Finance, Recruiting, Marketing leaders, and cross-functional partners to bring clarity to complex problems and keep leadership informed on progress, risks, and tradeoffs.

We're looking for someone who is analytical, operationally rigorous, deeply familiar with how marketing teams operate, and comfortable influencing senior stakeholders without formal authority.

You'll be responsible for:

Own integrated resource planning across budget, headcount, and hiring priorities, developing clear investment and tradeoff recommendations for B2B Marketing leadership.

Design and improve the operating system for B2B Marketing, including priority-setting, weekly business reviews, update intake, decision forums, project tracking, and executive communications.

Define the metrics, reporting cadences, and leadership narratives that show how B2B Marketing is progressing against business goals.

Serve as strategic surge capacity for new or high-priority B2B Marketing initiatives, stepping in to define the plan, stand up the operating model, and program-manage execution from 0 to 1.

Identify operational gaps across planning, resourcing, reporting, and execution, then design practical systems that improve clarity, accountability, and decision-making as the team scales.

We're looking for someone with:

14+ years of experience in strategy, business operations, strategic finance, consulting, marketing operations, or a marketing role in a fast-moving technology environment.

Experience working on or closely with a marketing team, with an understanding of B2B marketing and GTM motions including campaigns, events, customer storytelling, launch planning, lifecycle and growth programs, sales partnership, and pipeline-oriented measurement.

Strong analytical skills and comfort working with budgets, forecasts, headcount plans, operating metrics, and executive-facing reporting.

Clear, crisp communication, especially when synthesizing complex or messy inputs for senior audiences.

Ability to independently identify the highest-leverage operational problems, define the scope, align stakeholders, and drive a path from ambiguous need to durable system.

Strong cross-functional instincts, with the ability to build trust quickly, make tradeoffs, and influence teams without relying on formal authority.

Very strong attention to detail

Workplace &amp; Location

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Occasional travel will be required.

Compensation Range: $302K - $335K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-26T14:29:52.042Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Public Policy Manager, Global Affairs]]></title>
    <date>2026-05-27T04:12:53.595Z</date>
    <referencenumber>cmpry00hm00b0d4eev8eeezxh</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/public-policy-manager-global-affairs-1a0067be</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly, our Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains. We ensure that insights from policymakers inform our work and - in collaboration with our colleagues and external stakeholders - support the development of regulation, industry standards, and safe and beneficial development of AI tools.

About the Role

OpenAI is seeking a highly organized and skilled Policy Manager with exceptional writing, analytical, program management, and strategic thinking abilities to join our Global Affairs team, in the Policy Development and Operations team. The Policy Development and Operations team is responsible for identifying, tracking, and analyzing emerging legislative and regulatory proposals globally. They lead and coordinate the development of global public policy positions that are informed by legislative trends and OpenAI’s unique technical expertise, coordinate policy campaigns across regions, and integrate regional perspectives in order to represent Global Affairs in company-wide initiatives such as product launches.

Reporting to the Head of Policy Development and Operations, you will play a central role in developing proactive policy positions by working closely with regional teams to analyze legislative and regulatory proposals and provide issue-area expertise. You will synthesize legislative trends and regional insights, apply cross-functional perspectives, and exercise policy judgement to clearly articulate key decisions, trade-offs, and areas of alignment or disagreement. This role will include a broad range of policy issues with a focus on either AI safety or industrial policy as one central part of your portfolio. You will also work closely with our safety systems, product, product policy, and industrial compute teams to understand OpenAI’s products and translate that understanding into policy relevant insights, analysis, and proactive proposals.

In addition, you will also contribute to the Global Affairs team’s broader thinking about what proactive policies to advance and advocate for and how to best position those policies to succeed around the globe.

This is a deeply collaborative role that will leverage OpenAI’s existing strengths across the organization, including both policy and technical functions. You will collaborate with the rest of the Global Affairs regional and functional teams, as well as with representatives from our legal, product policy, research, safety systems, and industrial compute teams. In particular, you will be responsible for working closely with our technical teams to ensure that their perspectives are reflected in our policy agenda and advocacy.

OpenAI releases industry-leading research and tools. You will face new challenges as the impact of cutting edge generative AI technologies continues to be explored and as the needs of the organization evolve. The policy team is a fast-paced environment and flexibility is essential. You will be accountable for setting clear priorities and balancing tensions, including the cadence of this work —  quicker than academic research, and more deliberate than the most rapid response policy projects —- and the need to balance technical rigor with accessibility for a policy audience.

This role may be  based in San Francisco, CA, or Washington, D.C. and may require frequent travel to participate in meetings and events with key stakeholders. We offer relocation assistance to new employees.

You should thrive in this role if you:

Enjoy diving deep into technical details and then making and communicating connections across technology, policy, and politics.

Thrive in a fast-paced environment that requires you manage a diverse set of issues and complex stakeholders and to scale new organizations, processes, and functions quickly.

Collaborate effectively with cross-functional teams, especially across technical and policy teams, and are comfortable aligning a diverse range of internal and external partners.

Manage teams, people, and organizational growth effectively and with kindness.

Enjoy program management and are extremely organized and comfortable tracking a wide range of details and keeping a range of stakeholders on task.

Are passionate  about the promise of technology and the future of artificial intelligence and thoughtful about its potential risks.

We're looking for a blend of:

Experience working at the intersection of technology, policy, and politics and translating complex socio-technical issues to diverse audiences, ideally with a focus on AI safety or industrial policy

Understanding of industrial policy issues associated with AI supp]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Generative AI]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Generative AI]]></skills>
    <expirationdate>2026-07-26T04:12:53.595Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[M&A Integration]]></title>
    <date>2026-05-27T03:10:52.189Z</date>
    <referencenumber>cmphxwz1i00a0nel5eayv54oc</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/m-a-integration-lead-e972a99a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Corporate Development team sits at the intersection of OpenAI’s strategy and the global AI ecosystem. Partnering closely with research, engineering, product, GTM and business leaders, we analyze markets, technologies, and companies to identify opportunities that accelerate OpenAI’s mission and long-term strategy. Bringing together expertise in strategy, M&amp;A, and integration, the team leads the end-to-end process of sourcing, evaluating, negotiating, and integrating acquisitions and other strategic transactions.

About the Role

This is a high-visibility, strategically critical, cross-functional role at the intersection of M&amp;A execution, enterprise go-to-market, and operational excellence. You will lead the critical phase from diligence through integration planning and post-close follow-through, define repeatable integration playbooks, and partner directly with senior stakeholders to ensure each transaction delivers intended value. The ideal candidate brings structured, hands-on integration experience, with particular expertise in enterprise / B2B transactions and a passion for AI, including building an AI-native corp dev platform.

This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Lead integration planning and strategic execution for acquisitions from diligence through post-close follow-through, with clear owners, milestones, risks, and decision points.

Translate deal rationale into practical integration goals and plans across product, engineering, sales, partnerships, customer success, people, finance, legal, security, systems, and communications.

Partner with deal leads during evaluation and diligence to assess integration considerations, including tech stack, talent assessment, GTM alignment, transaction structure, operational readiness, and execution risk.

Advise sponsors on how best to bring onboard acquisitions to accelerate priorities.

Build relationships with trusted cross-functional partners to drive alignment and manage trade-offs.

Serve as a trusted partner to acquired teams during transition, helping them navigate OpenAI, maintain momentum, and connect with the right stakeholders.

Utilize AI to build and scale repeatable integration playbooks, templates, governance, and operating rhythms that can support future transactions.

Track integration KPIs and communicate progress, risks, blockers, and recommendations to executive stakeholders.

Run retrospectives after major integration milestones and feed lessons learned back into future diligence and integration planning.

You might thrive in this role if you have:

12+ years of experience in corporate development integration, consulting, or similar roles.

Hands-on experience leading M&amp;A integrations across all aspects and functions, including talent-focused, tech-focused and platform/business transactions. Experience with international deals, joint ventures / divestitures and large transactions a plus.

Expertise with integrating enterprise / B2B acquisitions, and understanding of GTM function and related integration activities (e.g. migrating contracts and systems, aligning sales targets and commission structures,, integrating sales teams).

Strong operating judgment and the ability to move fluidly between strategy and execution.

Comfort building structure in ambiguous, fast-moving environments.

Clear, concise communication with senior stakeholders, functional leaders, customers, and acquired teams.

A track record of building trust quickly and driving outcomes through influence rather than authority.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporate]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-26T03:10:52.189Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Strategic Finance, Product]]></title>
    <date>2026-05-27T03:02:35.293Z</date>
    <referencenumber>cmpgih31w03iuv2xqdg8lkh0i</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/strategic-finance-product-16fe9af8</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Strategic Finance organization provides financial insights and guidance to support the company’s long-term strategy and ambitious growth. We partner across Product, Partnerships, Engineering, and Marketing to allocate resources to the highest-impact opportunities while protecting sustainable unit economics.

The Applications Technology Strategic Finance team partners closely with Product to scale core offerings and bring new products to market. We lead revenue forecasting and performance management across the product portfolio, including economic margins, pricing, and partnership deal pricing and structuring.

About the Role

We are hiring a senior strategic finance thought partner to help shape ChatGPT Business, OpenAI’s self-serve product for teams adopting AI at work. You will partner closely with Product, Engineering, Growth, Data Science, and Marketing leadership to set strategy, evaluate growth bets, guide pricing and packaging decisions, and build the financial rigor that allows the business to scale.

You will translate product usage, customer behavior, unit economics, and market signals into decisions on what we build, how we launch, how we monetize, and where we invest. You will help define the growth model for a frontier AI product while working at the intersection of strategy, finance, and technology.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Serve as a strategic finance partner to ChatGPT Business product teams, helping shape product strategy, growth priorities, pricing decisions, and investment tradeoffs.

Own the forecast for ChatGPT Business self-serve, including revenue, usage, margin, unit economics, leading indicators, and the operating metrics that show where the product is gaining or losing traction.

Partner with Product, Engineering, Growth, Data Science, and Marketing leaders on product-led growth initiatives, pricing and packaging decisions, experiments, channel strategy, and new product launches.

Translate product usage, customer behavior, funnel dynamics, and financial data into clear recommendations that influence both long-term strategy and day-to-day product decisions.

Build planning and performance systems that help the team move faster, including forecast methodology, KPI architecture, decision frameworks, executive narratives, and repeatable reporting.

Stay up to date on AI, SaaS, product-led growth, pricing, and competitive dynamics to inform where OpenAI should invest and how the business model should evolve.

Prepare and deliver high-quality executive and Board materials that connect business performance, product strategy, key risks, and strategic recommendations.

You might thrive in this role if you have:

8+ years of experience in investment banking, consulting, strategic finance, product finance, growth finance, or buy-side investing, coupled with operating experience at a fast-paced, scaling technology company.

Experience supporting product teams on growth, pricing, packaging, monetization, or product strategy decisions, ideally in product-led growth, growth-stage SaaS, consumer/subscription products, or consumption-based business models.

Exceptional analytical and financial modeling skills, including building product P&amp;Ls, operating models, cohort and funnel analyses, pricing models, and unit economics that connect strategy to growth decisions.

Strong business judgment and product instincts, with the ability to evaluate opportunities, tradeoffs, and risks in a fast-moving product environment.

The ability to translate complex product, usage, customer, and financial data into clear recommendations for Product teams and senior leadership.

High attention to detail and a commitment to accuracy, paired with comfort making decisions when data is imperfect and the business is evolving.

Familiarity with product-led growth, growth experimentation, pricing and packaging, consumption-based pricing, or usage-based business models, and curiosity about how AI products change those playbooks.

A hands-on, roll-up-your-sleeves mentality and comfort operating in a fast-moving, ambiguous environment.

Enthusiasm for AI deployment, OpenAI’s mission, and the opportunity to shape how businesses adopt frontier AI.

Experience with SQL and comfort working directly with product analytics datasets.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, SQL]]></skills>
    <expirationdate>2026-07-26T03:02:35.293Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Partner AI Deployment Engineer - AWS]]></title>
    <date>2026-05-27T01:39:27.343Z</date>
    <referencenumber>cmpry00gz00awd4eefgtjpwyn</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/partner-ai-deployment-engineer-aws-34fe500b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Seoul]]></city>
    <country>ES</country>
    <description><![CDATA[About the team

The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems.

As a Partner AI Deployment Engineer focused primarily on AWS, you will operate at the center of one of our most strategic partnerships, driving customer outcomes through AWS and partner ecosystems while supporting other strategic partners where needed.

About the role

We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams).

This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments.

You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities.

This role is based in Seoul. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Strategic AWS Engagement &amp; InfluenceServe as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.

Influence joint account strategy and technical direction for high-priority opportunities.

Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices.

Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem.

Complex Deal Leadership &amp; ExecutionLead technical strategy for large, ambiguous, and high-stakes enterprise engagements.

Guide AWS and partner teams through customer opportunities from early ideation to architecture design, prototyping, and production deployment.

Act as a technical decision-maker and escalation point, de-risking complex implementations.

Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.

Solution Architecture &amp; Hands-On BuildingDesign and communicate end-to-end AI architectures leveraging OpenAI and AWS services.

Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.

Establish best practices for scalable, secure, and production-ready GenAI systems.

Ensure solutions are designed for repeatability, extensibility, and partner-led delivery.

Ecosystem Enablement &amp; ScaleEnable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).

Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.

Mentor and uplift partner technical teams, accelerating their path to self-sufficiency.

Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement.

Cross-Functional Leadership &amp; FeedbackPartner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution.

Act as a bridge between field and product, delivering high-signal insights to inform roadmap and prioritization.

Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function.

You’ll thrive in this role if you:

Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.

Operate as a technical leader and systems thinker, not just an individual contributor.

Balance hands-on building with strategic influence and scale.

Know when to go deep technically vs. enable others to execute.

Build trust quickly with engineers, architects, and executives alike.

Default to creating repeatable patterns, not one-off solutions.

Are comfortable owning ambiguous, high-visibility problem spaces.

Take a long-term, ecosystem-oriented view of impact.

Are motivated by driving customer and partner success at scale.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, ve]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[AWS]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[AWS, Generative AI, GenAI]]></skills>
    <expirationdate>2026-07-26T01:39:27.343Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Partner AI Deployment Engineer - AWS]]></title>
    <date>2026-05-27T01:38:52.430Z</date>
    <referencenumber>cmpry00gs00aud4ee94zawa31</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/partner-ai-deployment-engineer-aws-e9d60735</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Sydney]]></city>
    <country>ES</country>
    <description><![CDATA[About the team

The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems.

As a Partner AI Deployment Engineer focused primarily on AWS, you will operate at the center of one of our most strategic partnerships, driving customer outcomes through AWS and partner ecosystems while supporting other strategic partners where needed.

About the role

We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams).

This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments.

You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities.

This role is based in Sydney. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Strategic AWS Engagement &amp; InfluenceServe as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.

Influence joint account strategy and technical direction for high-priority opportunities.

Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices.

Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem.

Complex Deal Leadership &amp; ExecutionLead technical strategy for large, ambiguous, and high-stakes enterprise engagements.

Guide AWS and partner teams through customer opportunities from early ideation to architecture design, prototyping, and production deployment.

Act as a technical decision-maker and escalation point, de-risking complex implementations.

Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.

Solution Architecture &amp; Hands-On BuildingDesign and communicate end-to-end AI architectures leveraging OpenAI and AWS services.

Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.

Establish best practices for scalable, secure, and production-ready GenAI systems.

Ensure solutions are designed for repeatability, extensibility, and partner-led delivery.

Ecosystem Enablement &amp; ScaleEnable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).

Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.

Mentor and uplift partner technical teams, accelerating their path to self-sufficiency.

Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement.

Cross-Functional Leadership &amp; FeedbackPartner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution.

Act as a bridge between field and product, delivering high-signal insights to inform roadmap and prioritization.

Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function.

You’ll thrive in this role if you:

Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.

Operate as a technical leader and systems thinker, not just an individual contributor.

Balance hands-on building with strategic influence and scale.

Know when to go deep technically vs. enable others to execute.

Build trust quickly with engineers, architects, and executives alike.

Default to creating repeatable patterns, not one-off solutions.

Are comfortable owning ambiguous, high-visibility problem spaces.

Take a long-term, ecosystem-oriented view of impact.

Are motivated by driving customer and partner success at scale.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, v]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[AWS]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[AWS, Generative AI, GenAI]]></skills>
    <expirationdate>2026-07-26T01:38:52.430Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[GTM Enablement Lead]]></title>
    <date>2026-05-27T01:04:15.455Z</date>
    <referencenumber>cmpry00e500aqd4ee52tkqwne</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/gtm-enablement-lead-5455632a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[India - Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About the team

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions,, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

Our Go To Market team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. We are seeking a GTM Readiness Lead who will be a key player in building the foundational processes and programs to enable our team to achieve this mission.

You will build and deliver the programs to accelerate the onboarding of newly hired reps, support customer facing roles to achieve and exceed goals, and elevate the knowledge and skills of our technical team members across our product suite. You will work cross-functionally with product, solution strategists, sellers, marketing, and leadership to build the enablement programs and collateral that will help accelerate the success of our customers and our organization.

This role is based in Mumbai, India. 

In this role, you will:

Define our sales enablement strategy by identifying obstacles and gaps and prioritizing initiatives that will support our GTM teams in achieving and succeeding our goals.

Partner closely with Product, Product Marketing, Adoption, Deployment, and other teams to build internal and external facing collateral that will support the GTM team in best selling to and serving our customers.

Build, manage and automate information and collateral that GTM team members need in order to be effective in their roles.

Manage the regional Sales and Technical Success training calendar and run trainings that may include new process roll-outs, product launches, and other programs to make the teams more effective in their roles.

You might thrive in this role if you have:

Experience building programs and initiatives from scratch to enable rapidly scaling GTM teams.

Exceptional project management skills, with experience leading complex, cross-functional initiatives.

Outstanding communication skills and executive presence, with experience presenting in front of large audiences.

A combination of technical depth and strategic thinking; and enjoy translating day-to-day patterns into scalable solutions.

An understanding of the AI landscape, our applications, and the problems they solve for our customers.

The ability to thrive in ambiguity and work autonomously.

Exceptional organizational skills.

The ability to operate with high horsepower, be adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritization.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angele]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Project Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Project Management]]></skills>
    <expirationdate>2026-07-26T01:04:15.455Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Business Development Representative - EMEA (French Speaking)]]></title>
    <date>2026-05-26T23:20:43.439Z</date>
    <referencenumber>cmpry00ki00bkd4eenqqmtt6f</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/business-development-representative-emea-french-speaking-c22c190a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Dublin]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business, from ChatGPT Enterprise to our developer platform and APIs.

We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments.

Business Development sits at the front of this motion, where technical curiosity turns into executive engagement, and early product signals become enterprise-wide deployments.

About the Role

This role is designed as a launchpad for future sellers at OpenAI. This is a highly strategic role with significant exposure to enterprise sales, product, and customer strategy. You’ll develop core skills in discovery, stakeholder mapping, deal shaping, and executive communication while building a deep understanding of how leading companies adopt AI. 

We are looking for individuals with 4-6+ years of professional experience who are motivated to grow into world-class enterprise sellers over time. While many individuals in this role go on to become Account Directors or take on broader GTM roles, progression is based on performance and business needs rather than a fixed timeline. 

For the right person, this is one of the most accelerated paths to break into sales at OpenAI and build a long-term career in AI go-to-market. 

In this role, you will identify, shape, and advance complex enterprise opportunities by turning product usage, pilots, and inbound demand into qualified, high-conviction enterprise opportunities for our Large Enterprise and Strategic Accounts teams.

This role is based in our Dublin, Ireland office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Partner with Account Directors on account strategy, multi-threading, and deal progression

Design and execute targeted outbound strategies using industry context, stakeholder mapping, and product signal to break into priority accounts

Lead high-quality discovery to uncover business priorities, map stakeholders, and assess enterprise readiness

Contribute to pipeline reviews by sharing outbound activity, account insights, and early competitive signals.

Build and iterate on AI-enabled GTM workflows (GPTs/agents) to scale prospecting and qualification 

You may thrive in this role if you:

Have 4+ years of relevant experience in enterprise sales, or in strategic customer-facing roles in the finance or consulting industry

Have a track record of consistently hitting and exceeding ambitious targets in enterprise or strategic sales environments

Experience selling into regulated or complex industries (Financial Services, Life Sciences, Retail)

Strong communication skills and executive presence; able to build credibility with senior C-Suite stakeholders across an organization, and speak fluently with technical buyers

Strong interest in the AI landscape with the ability to connect OpenAI products to real customer value and business outcomes

You enjoy evangelizing new technology and helping the market understand what’s possible

You’re comfortable with ambiguity, moving quickly, and operating well with a high degree of ownership

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potent]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, APIs]]></skills>
    <expirationdate>2026-07-25T23:20:43.439Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Business Development Representative - EMEA (German Speaking)]]></title>
    <date>2026-05-26T23:20:07.463Z</date>
    <referencenumber>cmpry00ka00bid4eek725jnbn</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/business-development-representative-emea-german-speaking-4a516ca8</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Dublin]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business, from ChatGPT Enterprise to our developer platform and APIs.

We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments.

Business Development sits at the front of this motion, where technical curiosity turns into executive engagement, and early product signals become enterprise-wide deployments.

About the Role

This role is designed as a launchpad for future sellers at OpenAI. This is a highly strategic role with significant exposure to enterprise sales, product, and customer strategy. You’ll develop core skills in discovery, stakeholder mapping, deal shaping, and executive communication while building a deep understanding of how leading companies adopt AI. 

We are looking for individuals with 4-6+ years of professional experience who are motivated to grow into world-class enterprise sellers over time. While many individuals in this role go on to become Account Directors or take on broader GTM roles, progression is based on performance and business needs rather than a fixed timeline. 

For the right person, this is one of the most accelerated paths to break into sales at OpenAI and build a long-term career in AI go-to-market. 

In this role, you will identify, shape, and advance complex enterprise opportunities by turning product usage, pilots, and inbound demand into qualified, high-conviction enterprise opportunities for our Large Enterprise and Strategic Accounts teams.

This role is based in our Dublin, Ireland office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Partner with Account Directors on account strategy, multi-threading, and deal progression

Design and execute targeted outbound strategies using industry context, stakeholder mapping, and product signal to break into priority accounts

Lead high-quality discovery to uncover business priorities, map stakeholders, and assess enterprise readiness

Contribute to pipeline reviews by sharing outbound activity, account insights, and early competitive signals.

Build and iterate on AI-enabled GTM workflows (GPTs/agents) to scale prospecting and qualification 

You may thrive in this role if you:

Have 4+ years of relevant experience in enterprise sales, or in strategic customer-facing roles in the finance or consulting industry

Have a track record of consistently hitting and exceeding ambitious targets in enterprise or strategic sales environments

Experience selling into regulated or complex industries (Financial Services, Life Sciences, Retail)

Strong communication skills and executive presence; able to build credibility with senior C-Suite stakeholders across an organization, and speak fluently with technical buyers

Strong interest in the AI landscape with the ability to connect OpenAI products to real customer value and business outcomes

You enjoy evangelizing new technology and helping the market understand what’s possible

You’re comfortable with ambiguity, moving quickly, and operating well with a high degree of ownership

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potent]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, APIs]]></skills>
    <expirationdate>2026-07-25T23:20:07.463Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Strategic Sourcing Leader, Go-to-Market]]></title>
    <date>2026-05-26T23:08:14.158Z</date>
    <referencenumber>cmpry00jf00bed4eelt4wxtu6</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/strategic-sourcing-leader-go-to-market-9f60cee0</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Strategic Sourcing &amp; Procurement function plays a critical role in enabling OpenAI to deliver impact across research, product development, technology infrastructure, and services by helping the company scale responsibly, securely, and with strong commercial discipline.

Our work sits at the intersection of innovation and execution. We partner closely with teams across OpenAI to translate rapidly evolving business needs into scalable, compliant, and economically sound external partnerships.

As OpenAI continues to grow at pace, services sourcing is becoming increasingly strategic across the company. Every business unit relies on external service providers in different ways — to extend capacity, access specialized expertise, support operations, and accelerate execution. Done well, Procurement becomes a source of trust and momentum, helping OpenAI move faster with the right partners, stronger commercial outcomes, and the right level of protection.

About the Role

We are seeking an experienced Strategic Sourcing (GTM) Leader to lead strategic sourcing and commercial enablement for OpenAI’s Go-to-Market organization across B2B and B2C channels. You will manage substantial and rapidly growing spend while shaping sourcing strategies and scalable commercial pathways across Media, Creative, Production, Influencer, Agency, Sponsorships, Analytics, Communications, and Event suppliers in support of high-impact global initiatives. You’ll help evolve our GTM procurement function from reactive deal support into a speed-enabling, scalable commercial engine that delivers cost efficiency, launch readiness, and strong governance in a fast-moving environment.

In this role, you will:

Develop and execute sourcing strategies across GTM, Brand, Global Affairs, Events, Growth, and Partnership activities—spanning both B2B and B2C channels—that align with our mission and business objectives.

Lead the strategic sourcing, procurement, and supplier relationship management of key partners across media planning and buying, creative and production, creator/influencer, agencies, communications, sponsorships, partnerships, events, research, and analytics.

Lead and develop a lean, high-performing team of direct reports and contractors while remaining deeply hands-on in complex negotiations and high-volume deal execution; accountable for team output, execution quality, stakeholder experience, and scaling the function effectively.

Negotiate high-value and high-visibility commercial agreements that optimize cost, improve flexibility, and support time-sensitive launches, campaigns, placements, and partnerships.

Partner closely with Marketing , Creative &amp; Production, Growth, Partnerships, Finance, Legal, and other cross-functional stakeholders to understand business priorities and align sourcing strategies accordingly.

Oversee a complex GTM supplier ecosystem, ensuring supplier scalability, rapid onboarding, seamless activation, and timely service delivery across multiple concurrent workstreams.

Identify and implement cost and commercial optimization strategies without compromising quality, speed, business impact, or launch readiness.

 Enable major campaigns, brand moments, partnerships, and events by building sourcing approaches that can operate effectively under compressed timelines and evolving business requirements.

Monitor market trends, supplier capabilities, and emerging GTM commercial models to inform sourcing decisions and maintain a competitive advantage.

Provide strategic insights on spend, supplier performance, cycle times, savings, and sourcing initiatives to senior leadership to support fast, informed decision-making.

Ensure compliance with internal policies and external regulations while designing fit-for-purpose procurement pathways that reduce friction and maintain appropriate risk controls.

Build repeatable commercial pathways, templates, and approval mechanisms that reduce cycle time and minimize repeated Legal, Finance, and Procurement review.

Standardize sourcing and contracting approaches for recurring GTM motions such as media activations, production SOWs, creator/influencer engagements, and partnership structures.

Manage a portfolio that includes both large strategic negotiations and high-throughput transaction volume, balancing speed, rigor, and stakeholder experience.

Support executive-priority GTM and brand initiatives that may involve nontraditional suppliers, culturally relevant activations, and bespoke commercial structures.

You might thrive in this role if you have:

12+ years of progressive procurement experience.

10+ years of experience in strategic sourcing across marketing, advertising, communications, media, creator/influencer, sponsorships, partnerships, production, and events within major consumer or business brands.

5+ years of people leadership experience.

Dee]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Project Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Project Management]]></skills>
    <expirationdate>2026-07-25T23:08:14.158Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Strategy & Operations Lead]]></title>
    <date>2026-05-26T22:21:18.254Z</date>
    <referencenumber>cmpgih1a7036qv2xqwrmwxn3l</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/strategy-operations-lead-1cfec024</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Global GTM Data Science and AI Solutions team sits at the intersection of OpenAI’s products, customers, and commercial strategy. We partner closely with Sales, RevOps, Product, and leadership to turn data science and AI capabilities into practical tools that improve how we go to market and support customers.

Our work focuses on identifying high-impact opportunities, scaling AI-powered workflows, and ensuring our commercial teams have the insights and systems they need to succeed. We operate in a fast-moving environment where strategy and execution happen in parallel, and where the ability to translate technical innovation into real business impact is critical.

This team plays a key role in helping OpenAI’s GTM organization operate with greater clarity, speed, and intelligence as the company continues to scale globally.

About the Role

We are looking for a Strategy &amp; Operations Lead to help scale the impact of Global GTM Data Science and AI Solutions at OpenAI.

This role sits at the intersection of strategic analytics, operations, market intelligence, and execution. You will partner with GTM leadership, RevOps, and data science teams to identify high-priority opportunities, drive strategic initiatives, and operationalize AI-powered solutions that improve commercial outcomes.

This is a highly cross-functional role for someone who enjoys moving between strategic thinking and hands-on execution. You will help leadership make better decisions through market insights, performance reporting, and structured problem solving, while also ensuring that new AI capabilities translate into practical tools adopted by sales and GTM teams.

You’ll be responsible for:

Leading high-priority strategic analytics initiatives across Global GTM Data Science and AI Solutions, from problem definition through execution.

Building and scaling competitive intelligence capabilities to inform GTM strategy, product positioning, and commercial opportunities.

Owning business performance updates for GTM leadership, including executive-ready metrics, insights, and narratives for operating reviews.

Translating complex data science and AI capabilities into clear recommendations and practical workflows for business teams.

Creating enablement materials that help sales and GTM teams adopt new data-driven tools and AI solutions.

Defining scalable operating rhythms, business review cadences, and processes that improve decision-making and execution.

Partnering closely with RevOps, Data Science, and GTM leadership to align strategic priorities and ensure initiatives drive measurable business impact.

Driving clarity on ambiguous problems and structuring decisions in fast-moving, high-priority contexts.

We’re looking for someone with:

8+ years of experience in strategy, business operations, or consulting roles, ideally in high-growth technology environments.

Background in top-tier strategy consulting (e.g., McKinsey, BCG, Bain) or similar experience leading complex strategic initiatives.

Strong understanding of business performance management, commercial metrics, and executive reporting.

Experience partnering closely with sales, RevOps, business operations, or go-to-market leadership teams.

Excellent problem-structuring and market intelligence skills, with the ability to synthesize multiple signals into clear recommendations.

Comfort working at the intersection of technical and business teams, translating analytical insights into operational impact.

Familiarity with AI tools and workflows, and the ability to quickly understand new technologies and apply them to business problems.

Working knowledge of SQL or Python sufficient to QA analytical outputs or AI-generated code.

Exceptional communication skills, including experience preparing executive-level updates for senior leadership.

Strong cross-functional leadership and influence without direct authority.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered fo]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[SQL]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[SQL, Python]]></skills>
    <expirationdate>2026-07-25T22:21:18.254Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Compensation Analyst, Equity & Executive Compensation]]></title>
    <date>2026-05-26T20:07:51.478Z</date>
    <referencenumber>cmpry00ik00b8d4eeh97qgmx6</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/compensation-analyst-equity-executive-compensation-b63f49c9</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Equity Programs and Compensation teams design and support compensation frameworks that help attract, retain, and motivate exceptional talent as we pursue our mission of ensuring artificial general intelligence benefits all of humanity. Together, these teams build thoughtful, scalable programs across cash and equity compensation, grounded in strong governance and disciplined stewardship.

Partnering closely with Finance, Legal, and People leaders, the teams develop competitive compensation programs and equity frameworks that align our people with OpenAI’s long-term success.

About the Role

We are hiring a Compensation Analyst, Equity and Executive Compensation to join OpenAI’s People team. This individual contributor role sits at the intersection of compensation, analytics, and finance, supporting thoughtful pay decisions through rigorous modeling, benchmarking, reporting, and decision support, with a focus on equity and executive compensation programs.

You will own key cross-functional analytical projects that inform compensation design, pay recommendations, budgets and forecasts, grant sizing, equity usage, dilution, and stock-based compensation considerations. You will navigate ambiguous problems, build repeatable tools and processes, and translate complex, sensitive data into clear recommendations and executive-ready materials.

This role is ideal for someone with strong compensation fundamentals, analytical depth, sound judgment, and a collaborative approach to solving complex, sensitive problems.

This role reports to our Head of Equity Programs.

In this role you will:

Support pay design for new-hire, refresh, promotion, recognition, retention, and executive programs through quantitative analysis and thoughtful recommendations.

Build and maintain analytical models for compensation programs, including pay outcomes, equity grants, equity usage, dilution, stock-based compensation, budgets, and scenario planning.

Drive key cross-functional compensation analytics projects from scoping through delivery, independently evaluating tradeoffs and aligning stakeholders on recommendations.

Partner with Finance on budgeting, forecasting, and analysis of financial tradeoffs across compensation programs.

Conduct market benchmarking and pay-design analyses, including market data reviews, pay positioning, and recommendation development.

Prepare clear, decision-ready materials for senior leaders while maintaining rigorous data integrity and confidentiality.

Collaborate with Total Rewards, HR Business Partners, Recruiting, and Equity Administration to support accurate execution and implementation of compensation programs.

You might thrive in this role if you have:

5+ years of experience in compensation, finance, people analytics, or a related analytical field.

Strong financial modeling and analytical skills, including advanced Excel or Google Sheets capability and experience working with large, sensitive datasets.

Experience evaluating compensation design, market data, budgets, forecasts, or compensation program outcomes and translating analysis into business decisions.

Demonstrated ability to own complex, cross-functional projects, navigate ambiguity, influence stakeholders without formal authority, and develop repeatable solutions.

Experience with equity compensation, executive compensation, or other complex compensation programs is preferred.

Clear written and verbal communication skills, with the ability to explain quantitative findings and tradeoffs to cross-functional stakeholders.

High integrity, ownership, and attention to detail when handling confidential compensation information.

Workplace &amp; Location

This role is based in our San Francisco office and we aren’t considering remote applications at this time. We use a hybrid work model of 3 days in the office with optional work from home on Thursdays and Fridays. We also offer relocation assistance to new employees.

Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally p]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Excel]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Excel, Google Sheets]]></skills>
    <expirationdate>2026-07-25T20:07:51.478Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Ads Manager]]></title>
    <date>2026-05-26T17:44:41.959Z</date>
    <referencenumber>cmpry00i400b4d4eefjuowt6v</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-ads-manager-daffe017</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Seattle]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences, that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.

Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers, advertisers, and businesses.

This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, Research, and external customers to bring new monetization products into real-world systems at global scale.

About the Role

We’re looking for an experienced Software Engineer to help build Ads Manager, the UI platform advertisers use to create, manage, measure, and optimize ad campaigns across OpenAI’s ads ecosystem. This is a foundational role responsible for designing and implementing advertiser-facing products, APIs, tools, and services that connect external customers to OpenAI’s next-generation monetization products.

You’ll work across the full technical stack to build intuitive self-serve workflows for small and mid-sized advertisers, as well as scalable APIs and integrations for large enterprise advertisers, agencies, and ad-tech partners who manage campaigns through their own buying platforms or intermediary systems. This includes building advertiser-facing APIs and tooling for campaign management, conversion APIs, pixels, measurement, and insights. You will collaborate deeply with Product, Design, Research, and Go-To-Market teams to define the future of advertiser experiences while ensuring these systems meet OpenAI’s highest standards for safety, privacy, reliability, and policy alignment.

In this role, you will:

Design, build, and scale Ads Manager, the core UI platform for advertisers to create, manage, measure, and optimize campaigns.

Develop advertiser-facing APIs and tools that enable programmatic campaign creation, management, targeting, delivery, measurement, and optimization.

Build conversion APIs, pixels, insights, and measurement tooling that help advertisers understand and improve campaign performance.

Create self-serve workflows that help small and mid-sized advertisers launch and optimize campaigns with clarity and confidence.

Build enterprise-grade integrations for large advertisers, agencies, and external ad-tech platforms that manage and serve campaigns at scale.

Architect distributed systems and services with strong reliability, usability, privacy, and performance guarantees.

Partner closely with Product, Design, Research, and Go-To-Market teams to translate advertiser needs into high-quality technical solutions.

Drive 0→1 product development through rapid prototyping, experimentation, and iterative deployment.

Contribute to technical strategy, propose new directions, and help shape the roadmap for OpenAI’s advertiser platform.

Maintain high engineering rigor through strong testing, documentation, observability, and operational best practices.

Uphold the highest levels of safety, privacy, fairness, and policy compliance across all advertiser-facing systems.

You might thrive in this role if you:

Have 7+ years of experience building high-scale consumer, enterprise, marketplace, or ads-related systems.

Have a track record of architecting and delivering complex distributed systems, APIs, or advertiser-facing platforms.

Have experience building in Python / FastAPI and TypeScript / React.

Are excited by building both intuitive UI workflows and robust backend systems for external customers.

Have strong product intuition and enjoy translating advertiser needs into clear, reliable, and scalable product experiences.

Are comfortable navigating ambiguous product spaces and contributing to technical roadmaps and long-term direction.

Thrive in 0→1 environments where systems, architecture, and user experiences must be defined from scratch.

Communicate clearly, think holistically, and make decisions rooted in both user needs and long-term sustainability.

Are motivated by building privacy-preserving, safe, and user-first monetization systems.

Bonus: Have experience with ads managers, campaign management systems, advertiser APIs, conversion APIs, pixels, measurement systems, marketplaces, or enterprise ad-tech integrations.

Location

This role is exclusively based in our Seattle office. We offer relocation assistance to new employees.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that gener]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[APIs]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[APIs, Distributed Systems, Python, FastAPI, TypeScript, React]]></skills>
    <expirationdate>2026-07-25T17:44:41.959Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Executive Business Partner, People]]></title>
    <date>2026-05-26T17:31:00.561Z</date>
    <referencenumber>cmpry00hv00b2d4eeblvvpby7</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/executive-business-partner-people-835ee711</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Our Executive Operations team includes Executive Business Partners and Administrative Business Partners, who serve as trusted advisors and collaborators to OpenAI's executives and leaders, focused on strong communication and operational excellence across teams. With a focus on elevating the impact and efficiency of leadership, we anticipate needs, streamline processes, and provide comprehensive support to ensure our executives can focus on high-impact initiatives. We play a pivotal role in driving success and achieving key milestones by cultivating strong relationships and leveraging our deep understanding of business objectives. With a commitment to excellence and a proactive approach, we are dedicated to empowering our leaders and contributing to the overall growth and success of the company.

Our leadership team reflects OpenAI’s culture and core values and is a mission-driven, kind, and thoughtful group. We take pride in creating a work environment that fosters collaboration, open communication, and authenticity, making OpenAI an excellent place to work for highly accomplished professionals.

About the Role: 

We are seeking an experienced Executive Business Partner to support our Chief People Officer. This role requires exceptional critical thinking, sound judgment, strategic problem-solving, and the ability to anticipate needs in a fast-paced, high-stakes environment. The ideal candidate will excel at managing complex calendars, orchestrating high-priority meetings, and ensuring seamless execution of leadership initiatives.

Beyond expert scheduling and coordination, this person will serve as a trusted extension of the Chief People Officer, representing the office with professionalism, warmth, and discretion. They will build strong relationships across all levels of the organization, creating a positive, responsive, and high-trust experience for internal and external stakeholders alike. The successful candidate is an exceptional communicator, capable of delivering timely, thoughtful, and action-oriented responses while balancing competing priorities and protecting executive time. They understand that every interaction with the executive’s office is an opportunity to build trust and credibility, and they consistently create an experience that is thoughtful, responsive, and solutions-oriented.

In addition, this role will provide light project management support, drive operational efficiency, and proactively streamline workflows to enable the leader to focus on the company’s highest-impact priorities.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

What we are looking for:

8+ years experience in a cross-functional executive assistant role or similar support function 5+ in C Suite preferred.

Successfully supported multiple leaders in the past.

Worked in a hard tech startup or similar environment.

Managed and optimized extremely busy calendars.

Detail oriented - they have implemented strong, scalable systems for managing work effectively, Asana, Slack, bullet-system, etc.

Strong communication - communicating effectively by tailoring messages to the needs and context of different audiences.

Discretion - This role involves access to highly sensitive information and therefore requires impeccable judgment and unwavering confidentiality.

Humility/diplomacy - this role has the potential to accrue power in a unique ways, but we want this person to be decisive and make noncontroversial decisions

Fluency in Google Calendar, Docs, Sheets, Gmail, Slack, etc. and other modern productivity software, and are excited to learn and use new tools.

Genuine interest in the technology we’re building and the transformative potential of AI

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Excel]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Excel, Project Management, Slack, Google Calendar, Gmail]]></skills>
    <expirationdate>2026-07-25T17:31:00.561Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Ad Formats]]></title>
    <date>2026-05-26T17:18:15.004Z</date>
    <referencenumber>cmpry00f800asd4eegwfoz491</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-ad-formats-9bbf812e</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences, that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.

Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers, advertisers, and businesses.

This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring new ad experiences into real-world systems across OpenAI surfaces at global scale, including thoughtfully integrating them into the core ChatGPT experience.

About the Role

We’re looking for an experienced Software Engineer to help build the creative rendering and presentation layer of OpenAI’s ads ecosystem. This is a foundational role responsible for defining how ads are structured, rendered, and delivered across different surfaces, platforms, and media types.

You’ll work across the full technical stack to build infrastructure and tooling for new ad formats, including text, image, video, native, conversational, and interactive experiences. You will help ensure these formats render reliably, perform efficiently, and feel natural within the core ChatGPT experience. You’ll collaborate deeply with Product, Design, and Research to create ads experiences that are useful, high-quality, privacy-preserving, and aligned with OpenAI’s standards for safety and user trust.

In this role, you will:

Design, build, and scale the creative rendering and presentation systems that power OpenAI’s ads experiences.

Develop infrastructure and tooling for ad formats across text, image, video, native, conversational, and interactive surfaces.

Define how ads are structured, rendered, validated, and delivered across ChatGPT and other OpenAI product experiences.

Build systems that ensure ads render reliably, perform efficiently, and meet high quality standards across platforms.

Partner closely with Product, Design, and Research to prototype and ship ad experiences that feel native to the core ChatGPT experience.

Architect distributed systems and services with strong reliability, usability, privacy, and performance guarantees.

Drive 0→1 product development through rapid prototyping, experimentation, and iterative deployment.

Contribute to technical strategy, propose new directions, and help shape the roadmap for OpenAI’s ads formats platform.

Maintain high engineering rigor through strong testing, documentation, observability, and operational best practices.

Uphold the highest levels of safety, privacy, fairness, and policy compliance across all ad rendering and delivery systems.

You might thrive in this role if you:

Have 7+ years of experience building high-scale consumer product experiences, creative systems, ads systems, or platform infrastructure.

Have a track record of architecting and delivering complex systems that power user-facing experiences across multiple surfaces.

Care deeply about product quality, performance, reliability, and the details of how experiences render for users.

Are comfortable working at the intersection of frontend systems, backend infrastructure, design, and product strategy.

Bring strong product intuition and enjoy collaborating deeply with Product, Design, and Research.

Thrive in 0→1 environments where systems, architecture, and user experiences must be defined from scratch.

Communicate clearly, think holistically, and make decisions rooted in both user needs and long-term sustainability.

Are motivated by building privacy-preserving, safe, and user-first monetization systems.

Bonus: Have experience with ads formats, creative rendering systems, content delivery, design systems, media platforms, or interactive product experiences.

Location

This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.

Compensation Range: $230K - 385K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, Distributed Systems]]></skills>
    <expirationdate>2026-07-25T17:18:15.004Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Full-Stack Software Engineer, Compute Foundations]]></title>
    <date>2026-05-26T16:47:45.468Z</date>
    <referencenumber>cmpry002l00aed4ee48yrwzpx</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/full-stack-software-engineer-compute-foundations-2c157572</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Frontier Clusters team at OpenAI builds, launches, and supports the largest supercomputers in the world!

Our mission is to make them work for frontier model training. We bring new clusters online, scale them to larger and larger training runs, improve cluster availability, and work with researchers to understand and fix the issues that keep jobs from running reliably.

That means debugging issues across hardware and software, building the tools needed to operate these systems, and working closely with researchers to make frontier training reliable.

About the Role

You will build web-based tools that help answer critical questions about our supercomputing clusters: Why is this training job down? What is preventing these nodes from being ready? Where are we losing usable capacity, and what should we fix first? How can agents help us solve this problem?

You will work closely with researchers and infrastructure teams to identify the highest-leverage problems in cluster operations, then design and build solutions. That could mean improving cluster availability, giving users and operators better insight into job failures and performance, or building workflows that make scheduling, debugging, and resource management more effective at massive scale.

This is an opportunity to work at the cutting edge of AI infrastructure, turning complex operational problems across some of the world’s largest supercomputers into clear, reliable, and scalable systems.

In this role, you will:

Build full-stack web applications that help researchers and operators understand cluster health, job failures, and usable capacity in real time.

Turn questions like “why is this job down?” and “what is preventing these nodes from being ready?” into clear, actionable product experiences.

Collaborate closely with researchers and infrastructure teams to identify high-leverage operational problems and build tools that solve them.

Design data models, APIs, and visualizations that make large-scale scheduling, resource allocation, and cluster behavior easier to inspect and reason about.

Develop scalable backend services that process high-volume cluster and workload data with low latency and high reliability.

Build intuitive frontend workflows that connect users to the underlying scheduling, storage, and compute systems.

Raise the bar for reliability, performance, and security in the systems used to operate OpenAI’s frontier compute.

You might thrive in this role if you:

Have significant experience in full-stack development, with expertise in modern frontend frameworks such as React, Vue, or Angular, and backend technologies such as Python, Go, or Node.js.

Have built scalable, high-performance web applications for complex distributed systems.

Understand APIs, distributed data systems, and cloud infrastructure.

Are execution-focused, with a strong eye for usability, performance, and scalability.

Are comfortable working in fast-paced, highly collaborative environments with tight timelines and evolving priorities.

Bonus points if you:

Have experience working with Kubernetes, Docker, and cloud-native application deployment.

Understand AI/ML workload scheduling and orchestration challenges.

Have experience with real-time data processing, visualization libraries, and observability tooling.

Compensation Range: $230K - $347K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Operators]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Operators, APIs, React, Angular, Python, Node.js, Distributed Systems, Cloud, Kubernetes, Docker]]></skills>
    <expirationdate>2026-07-25T16:47:45.468Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Scientist]]></title>
    <date>2026-05-26T14:19:10.165Z</date>
    <referencenumber>cmpqijoo600833sgn5v895qvi</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/data-scientist-eef47c76</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Dubai]]></city>
    <country>ES</country>
    <description><![CDATA[We are looking for a Data Scientist to join the Business Analytics team at Spotify. You will work with the Regional Analytics Lead to evaluate and influence our growth strategy in Middle East &amp; Africa exciting and diverse landscape. 

You will collaborate with a distributed team of world-class analysts, data scientists, business leaders, marketers, and engineers. Learning and improving is part of our daily routine, and you will get a platform to develop your data skills and carve out efficient ways of working.

The Business Analytics team is part of Spotify’s core business strategy organization. You’ll play a crucial role in the growth and direction of Spotify as we grow to 760M+ users around the globe. 

At your fingertips, you’ll have access to all the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio (and video)!

What You'll Do 

Develop data driven strategies to drive the growth of Spotify users and subscribers
Identify new user growth levers in the SAMEA region and use experimentation to help drive that growth
Create and communicate impactful recommendations and models that improve our product offering, user messaging, and channel optimization
Build scalable data pipelines and dashboards to facilitate business performance tracking
Work closely with business partners to understand the change they are driving and help them discover new opportunities for growth
Design and implement comprehensive tests, making sure that we track all relevant metrics and that we’re learning at every step along the way
Present your findings to senior collaborators, influencing the course of our business

Who You Are

You have a least 2+ years of professional experience synthesizing insights from data using tools such as Python/R, SQL
Experience with distributed systems and cloud data platforms (BigQuery or GCP) is a plus
Experience with AI tools (LLMs and coding assistants) is a plus
Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the data
Have experience collaborating with partners to measure the impact of business/marketing initiatives and presenting those findings in coherent recommendations
Have a background in Economics, Computer Science, Statistics, Engineering or a relevant field
Comfortable working on a globally distributed team (with occasional international travel)
Relevant experience in a consumer tech/product company is a plus

Where You'll Be 
This role will be based at Spotify’s office in Dubai
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Python]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Python, SQL, Distributed Systems, Cloud, GCP, LLMs]]></skills>
    <expirationdate>2026-07-25T14:19:10.165Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[SAGE X3 Consultant]]></title>
    <date>2026-05-26T10:18:24.420Z</date>
    <referencenumber>vac_sage_x3_003</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/sage-x3-consultant-003</url>
    <company><![CDATA[The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Madrid / Bilbao]]></city>
    <country>ES</country>
    <description><![CDATA[Empresa líder en el ecosistema Sage X3 en Iberia, reconocida como el mejor partner del mercado, con una amplia cartera de clientes activos y un alto volumen de proyectos. Especializada en implementaciones end-to-end (de principio a fin), desde el análisis funcional y diseño de solución hasta la puesta en marcha, formación y soporte evolutivo. Participarás en proyectos reales, complejos y de alto impacto, trabajando con equipos expertos en entornos empresariales exigentes y en plena expansión.

Funciones:

- Participar en proyectos completos de implantación de Sage X3
- Analizar procesos de negocio y recoger requerimientos del cliente
- Diseñar la solución funcional y configurar el sistema
- Ser el punto de contacto directo con el cliente
- Dar soporte en el go-live y en las fases posteriores a la implantación
- Colaborar en proyectos multi-sector

Requisitos:

- Experiencia previa con Sage X3 (funcional, técnica o mixta)
- Experiencia en proyectos de implantación de ERP
- Capacidad analítica y clara orientación al cliente
- Autonomía y mentalidad consultiva
- Nivel de español fluido (se valorará portugués o inglés)

Modalidad de trabajo:

- Modelo híbrido en Madrid o Bilbao
- 100% remoto desde Portugal
- Flexibilidad real según tu ubicación

Condiciones:

- Salario: 30.000 € – 45.000 € brutos anuales (según experiencia)
- Proyectos estables y de largo recorrido
- Alto volumen de nuevas implantaciones
- Plan de crecimiento profesional real
- Proyección hacia roles senior, lead o project

Qué hace este proyecto diferente:

- Partner número uno de Sage X3 en Iberia
- Participación en proyectos completos, no solo en soporte
- Amplia base de clientes activos
- Continuidad y variedad de proyectos
- Marca sólida y reconocida en el mercado
- Alta visibilidad profesional
- Aprendizaje acelerado en entornos exigentes

Ubicación: España (Madrid, Bilbao - modalidad híbrida) / Portugal (Lisboa o 100% teletrabajo)]]></description>
    <salary><![CDATA[30000-45000 EUR/year]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[SAGE X3]]></category>
    <remotetype>Hybrid</remotetype>
    <skills><![CDATA[SAGE X3, Crystal Reports]]></skills>
    <expirationdate>2026-07-25T10:18:24.420Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Build Systems / CI]]></title>
    <date>2026-05-25T19:44:52.128Z</date>
    <referencenumber>cmprxzwwm00a2d4eevyfj07ze</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-build-systems-ci-41e56d39</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the RoleThe Engineering Acceleration team builds and operates the foundational systems that engineers use to build, test, and ship ChatGPT, the API, and OpenAI's infrastructure.

We are looking for an engineer to help evolve OpenAI's build and continuous integration systems for a fast-growing engineering organization. This role sits at the intersection of developer productivity, build systems, distributed infrastructure, and software quality. You will work on the systems that determine how quickly and confidently engineers can move: Bazel-based builds, Buildkite pipelines, test selection, remote caching and execution, CI observability, and tooling that helps engineers understand and fix failures quickly.

Our mission is to make OpenAI one of the most productive engineering organizations in the world while preserving a high bar for correctness, reliability, and safety. The best version of this work is invisible when it succeeds: builds are fast, tests are trusted, CI failures are understandable, and engineers can focus on shipping useful systems instead of fighting infrastructure.

In This Role, You WillOwn and evolve Bazel-based build and test workflows across a large, polyglot monorepo.

Design and maintain Starlark rules, macros, toolchains, and integrations that make builds reproducible, hermetic, and easy for product teams to adopt.

Improve CI performance and reliability across Buildkite pipelines, including queue time, build time, cache hit rates, test sharding, retry behavior, and flake isolation.

Build systems that reduce unnecessary CI work through affected-target detection, dependency graph analysis, test selection, caching, batching, and smarter scheduling.

Improve local development workflows so engineers can reproduce CI behavior, debug build failures, and iterate quickly without learning every detail of the build stack.

Operate and optimize build infrastructure across Docker/OCI images, Kubernetes-based runners, cloud resources, and remote cache/execution systems.

Instrument build and CI systems with metrics, logs, traces, dashboards, and analytics so we can measure speed, reliability, cost, and developer impact.

Partner directly with product, infrastructure, and research engineering teams to understand pain points, onboard projects, debug hard build issues, and remove systemic bottlenecks.

Use modern AI tools to rethink CI failure analysis, flaky test debugging, PR triage, automatic remediation, and developer-facing explanations.

Own the reliability of the systems you build, including participating in an on-call rotation for critical developer infrastructure.

Technologies Commonly Used In This Environment IncludeBazel and Starlark for build and test workflows

Buildkite for CI orchestration

Docker and OCI images for build and runtime packaging

Kubernetes for CI runners and infrastructure orchestration

Python, Go, TypeScript, Rust, C++, and other languages in a large monorepo

Terraform for infrastructure as code

Remote caching, remote execution, artifact storage, and build telemetry systems

Postgres, Kafka, and internal services used to power engineering platforms

You May Be A Strong Fit If YouHave 5+ years of software engineering experience, including significant experience building infrastructure or tooling for developers.

Have hands-on experience with Bazel, Buck, Pants, Gradle, or similar build systems, and understand the tradeoffs of hermetic builds, dependency graphs, caching, sandboxing, and remote execution.

Have built or operated CI systems at scale, especially in environments where build time, queue time, test flakiness, and developer trust materially affect engineering velocity.

Are comfortable writing production software for internal platforms, not just configuring tools. We expect this role to involve code, design, debugging, operations, and long-term ownership.

Can debug distributed build and CI failures across source control, dependency management, containers, runners, remote caches, test frameworks, and service infrastructure.

Care deeply about developer experience and have empathy for the small sources of friction that slow teams down or create operational toil.

Are pragmatic about platform adoption: you know how to build paved paths that teams want to use because they are faster, clearer, and more reliable.

Communicate clearly across teams and can turn ambiguous productivity problems into concrete technical plans.

Are excited to apply AI to developer infrastructure in ways that make engineers faster without weakening quality, reliability, or safety.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we m]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[ChatGPT, Docker, Kubernetes, Cloud, Python, TypeScript, Rust, Terraform, Postgres, Kafka]]></skills>
    <expirationdate>2026-07-24T19:44:52.128Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Startup Field Marketer]]></title>
    <date>2026-05-23T03:47:33.420Z</date>
    <referencenumber>cmphxwz4a00ainel5xutcj13x</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/startup-field-marketer-92b85688</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamLike every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of AI. With that aim in mind, we are responsible for developing and executing strategies that OpenAI Job Boarddrive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences.

We take a data-driven approach to understand our customers' needs and challenges, ensuring that their voices are reflected in product development and messaging. We then partner closely with product, engineering, developer relations, comms, and sales teams to create a cohesive customer experience across all our channels.

Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies.

About the RoleAs a Startup Field Marketer, you will execute and scale OpenAI startup field marketing programs, bringing high-impact founder experiences to life across owned events and technical community moments. This role will manage the end-to-end execution of startup-facing initiatives including founder events, workshops, hackathons, ecosystem activations, and flagship moments tied to OpenAI launches and products.

You’ll partner closely with startup GTM, product marketing, developer relations, events, and marketing teams to ensure OpenAI consistently shows up with high-signal, technically credible experiences for founders and builders. Sitting at the center of how OpenAI engages the startup ecosystem in the real world, you’ll help scale how startups discover, adopt, and build with OpenAI through programs that bring founders and developers closer to our products, community, and teams.

This role is ideal for someone who thrives in fast-paced environments, enjoys operational ownership, and can independently drive multiple programs simultaneously while maintaining a high bar for execution and attendee experience. If you’re excited about operating at the frontier of AI, running world-class programs, and working alongside ambitious founders and cross-functional teams, we’d love to hear from you.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In This Role, You Will:Build and execute startup field marketing programs from planning through onsite delivery and post-event follow-up

Support flagship OpenAI startup experiences including Founder Days, Builder Lounges, hackathons, workshops, and ecosystem activations

Partner with cross-functional stakeholders to align programming, audience strategy, messaging, and follow-through

Help scale repeatable event playbooks and operational processes across markets and program types

Track program performance, attendee engagement, and operational learnings to continuously improve execution quality

Ensure OpenAI’s startup presence consistently reflects a high-quality, founder-centric, and technically credible brand experience

You Might Thrive in This Role If You:Have 7+ years of experience executing field marketing, startup ecosystem, community, or experiential programs

Have experience running repeatable event series or scaled founder/developer programs across multiple markets

Are highly organized and operationally strong, with the ability to manage multiple timelines, stakeholders, vendors, and logistics simultaneously

Can independently own projects within a defined scope, proactively identify risks, and drive solutions through ambiguity

Are comfortable partnering cross-functionally across GTM, partnerships, PMM, events, and operations teams while communicating clearly with stakeholders

Are energized by startups, AI, and developer ecosystems, with strong judgment around founder audience experience and a collaborative, ownership-driven mindset

Compensation Range: $227K - $252K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered f]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Logistics]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Logistics]]></skills>
    <expirationdate>2026-07-22T03:47:33.420Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Enterprise 3P Field Events Lead]]></title>
    <date>2026-05-23T03:31:18.386Z</date>
    <referencenumber>cmphxwz4m00aknel5jxemmw1t</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/enterprise-3p-field-events-lead-611c4d03</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe Enterprise Marketing team helps the world's largest organizations understand, adopt, and scale AI responsibly. We partner closely with Sales, Solutions, Product, Research, Customer Success, Events, Comms, and executive leadership to help customers see what is possible with OpenAI and move from interest to action.

 About the RoleOpenAI needs a strategic field events leader who can make third-party events run at scale. As Enterprise Marketing expands across partner summits, priority industries, major conferences, and customer-facing field moments, the team needs someone who can turn a growing portfolio of external events into a disciplined, repeatable operating machine.

The Enterprise 3P Field Events Lead will own the third-party field events motion for our enterprise segment. They will partner closely with Sales, Events, Product Marketing, Comms, Content, Design, and Marketing Operations to ensure OpenAI shows up in the right places, with the right goals, message, footprint, follow-through, and measurement.

The right person has managed large third-party event portfolios at scale and understands how to connect sponsorships, field activations, partner moments, executive programs, sales goals, industry priorities, and post-event conversion into one operating system.

This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

 In this role, you will:Own the third-party field events portfolio, including partner summits, industry events, sponsored conferences, and high-priority external field activations.

Build annual and quarterly planning processes that align events to Sales priorities, industry strategies, partner goals, account targets, and pipeline needs.

Define event goals, target audiences, account lists, seller ownership, executive engagement, and post-event follow-through.

Manage sponsorship strategy, event packages, vendor relationships, agencies, budgets, timelines, staffing models, and on-site execution.

Build scalable playbooks for different event tiers, from major tentpoles to smaller industry moments.

Partner with Product Marketing, Content, Comms, Design, and Production to ensure message, experience, demos, sessions, and executive presence are cohesive.

Partner with Marketing Operations to track event performance, pipeline impact, account engagement, meetings, opportunity progression, and post-event conversion.

Build and manage the resourcing model needed to execute third-party events consistently and efficiently.

You might thrive in this role if you have:7+ years of experience in field events, strategic events, event marketing, partner events, enterprise marketing, or adjacent B2B GTM roles.

Deep experience managing third-party events at scale, including major conferences, sponsorships, partner summits, industry events, and multi-stakeholder field activations.

Experience owning large event portfolios with complex budgets, vendors, agencies, executive stakeholders, and cross-functional dependencies.

Experience partnering with Sales, Partnerships, Product Marketing, Comms, Design, Solutions, and Marketing Operations.

Strong understanding of how events support pipeline, account progression, partner strategy, executive engagement, and brand presence.

Experience building event playbooks, operating cadences, intake systems, measurement models, and resourcing plans.

Evidence of building or scaling a team, agency model, or operating system around events.

Compensation Range: $227K - $252K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-22T03:31:18.386Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, RL Training Infra]]></title>
    <date>2026-05-23T02:00:50.464Z</date>
    <referencenumber>cmphxwu13009gnel5bwxauap4</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-rl-training-infra-067ac35b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Post-Training Frontiers team creates the frontier agents OpenAI ships to the world. We do the reinforcement learning training for the agentic models we ship in Codex, ChatGPT, and the API (from o1 to 5.5).

Our role consists of (1) shepherding all integrations that should go into the final RL run and deciding what can make it in, (2) babysitting and scaling the final run, and (3) building the research and infra for horizontal integrations, such as improving function calling, factuality, multi-agent capabilities, memory, calibrated thinking, etc.

About the Role

This role focuses on keeping our frontier RL training runs fast, reliable, and unblocked. You will work across engineering and infrastructure problems as they emerge, from scaling and orchestration issues to inference bottlenecks, numerical problems, and hardware failures, as well as supporting large horizontal integrations in the big run, like multi-agent capabilities or memory. This is a role for a strong generalist who quickly learns anything needed for the task, has high attention to detail, debugs deeply, and is motivated by fixing the highest-impact problem in front of the team.

In this role, you will:

- Keep large-scale RL training runs moving by jumping into the most urgent engineering and infrastructure problems.

- Debug issues across training systems, inference, orchestration, scaling, and distributed infrastructure.

- Solve hard technical problems at the boundary between research and engineering: scaling experiments, improving training reliability, debugging distributed systems, reducing latency and cost, and making new capabilities robust under real workloads.

- Improve reliability and efficiency for RL training runs.

- Help researchers who are developing infra-heavy integrations, such as multi-agent capabilities or memory.

- Turn recurring operational issues into better tools, systems, processes, or abstractions.

- Work closely with research, infrastructure, and partner teams during tight model run timelines.

- Become useful quickly in messy, ambiguous areas where ownership matters more than a perfectly scoped project.

- Debug failures that cut across model behavior, training data, RL systems, evaluation infrastructure, serving systems, and agent harnesses, then turn those failures into hypotheses, fixes, and durable improvements.

You might thrive in this role if you:

- Want to train and ship our frontier models and ensure we make agents genuinely useful for developers, enterprises, researchers, and everyday users.

- Are a strong generalist engineer with experience in some layer of ML infrastructure.

- Have worked on RL, inference, scaling, training systems, orchestration, or adjacent ML infrastructure.

- Learn extremely quickly and are comfortable operating across unfamiliar layers.

- Are a strong debugger with high ownership, low ego, and excellent communication.

- Can land in a messy area with tight timelines, become useful quickly, and gradually raise the quality of the whole system.

- Are energized by fast-moving environments where reliability, speed, and judgment matter.

- Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous.

Nice to have:

- Experience supporting large-scale model training, async RL systems, or high-throughput ML infrastructure.

- Experience debugging distributed systems across GPUs, networking, orchestration, or inference stacks.

- Background in performance optimization, scaling, or production-critical infrastructure.

- Experience working directly with researchers or fast-moving model teams.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reas]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Reinforcement Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Reinforcement Learning, Codex, ChatGPT, API, ML Infrastructure]]></skills>
    <expirationdate>2026-07-22T02:00:50.464Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Core Science]]></title>
    <date>2026-05-22T23:32:39.249Z</date>
    <referencenumber>cmphxwz3n00aenel5zkn4lgph</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-core-science-e8205bf5</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Core Science team is a new vertical within Codex focused on making AI an exceptional collaborator for scientific discovery. The team is building AI-native tooling and infrastructure for scientists across paper writing, literature search, data analysis, simulations, and computational experimentation. Our mission is to help researchers move faster — accelerate breakthroughs in math, physics, biology, chemistry, bioengineering, and adjacent scientific domains through powerful AI-assisted workflows.

About the Role

As a Software Engineer, Core Science, you will help design and build the platforms, products, and infrastructure powering AI-native scientific research workflows inside Codex.

We’re looking for people who are excited about building ambitious 0→1 systems at the intersection of AI, engineering, and scientific discovery. This role spans both backend and full-stack engineering, with opportunities to work closely with researchers, applied scientists, and product teams to define entirely new experiences for scientific exploration and experimentation.

This role owns systems end-to-end: from architecture and implementation to evaluation, launch, and production operations, with a strong bias for both quality and velocity. You will build across backend services, data and orchestration pipelines, model-powered workflows, and user-facing experiences, making thoughtful trade-offs as scientific use cases and AI capabilities rapidly evolve. Success in this role means turning ambitious, ambiguous ideas into reliable products that researchers can use to analyze data, run simulations, explore evidence, and accelerate scientific discovery.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Shape the future of AI-powered scientific research by building backend systems and full-stack product experiences across Prism and Codex

Develop AI-native workflows for paper writing, literature review, paper understanding, research synthesis, and scientific knowledge exploration, designing systems that can work across complex technical content, heterogeneous sources, and evolving research questions.

Partner closely with researchers and domain experts across biology and adjacent scientific disciplines to understand real research workflows, identify high-leverage opportunities for AI, and translate ambiguous scientific needs into useful, trustworthy product capabilities.

Build AI-powered tools for scientific data analysis and simulation, helping researchers explore complex datasets, design and run computational experiments, interpret results, and iterate on models or hypotheses more efficiently.

Help establish the product, platform, and engineering foundations for fast-moving 0 → 1 efforts across the Core Science organization, balancing rapid experimentation with the rigor, reliability, and quality required for tools used in research.

You might thrive in this role if you:

Have strong backend or full-stack engineering fundamentals and experience taking complex product ideas from prototype to reliable production systems, with attention to performance, usability, and maintainability.

Are comfortable building in highly ambiguous 0 → 1 environments, where customer needs, product direction, technical architecture, and model capabilities are evolving quickly.

Are excited about applying AI systems to consequential real-world scientific problems, and care about building tools that improve how researchers reason, analyze evidence, collaborate, and make discoveries.

Have experience building scalable distributed systems, developer platforms, data-intensive applications, retrieval or knowledge systems, workflow tools, or model-powered product experiences.

Care deeply about product quality, iteration speed, and user impact, and can use feedback from researchers and domain experts to rapidly improve systems while maintaining scientific and technical trustworthiness.

Are curious about scientific workflows and domains such as computational biology, biology, chemistry, biomedical research, scientific literature, or research tooling, and are motivated to learn from experts in these areas.

Communicate clearly across engineering, research, product, and domain-specialist audiences, and enjoy turning complex, underspecified problems into opinionated systems that researchers can depend on.

Compensation Range: $293K - $385K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and exper]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, Distributed Systems]]></skills>
    <expirationdate>2026-07-21T23:32:39.249Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Researcher, Context - Agent Post-Training]]></title>
    <date>2026-05-22T23:08:33.816Z</date>
    <referencenumber>cmphxwz1v00a2nel5xtq636pj</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/researcher-context-agent-post-training-1e5d1b52</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve.

We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste.

Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use.

About the Role

We believe that the final enabler for AGI is spending compute on context. As a Context Researcher on Agent Post-Training, you will scale compute spent on context. You will get to work in our frontier training stack on enabling the next paradigm of model training with a clear product interface for iterative deployment (Codex Chronicle). You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models.

In this role, you will:

Design and run experiments that improve scaling of compute on context.

Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, reward signals, evals, diagnostics, and model-behavior analysis.

Build evals and environments that expose the next set of model failures, then turn those failures into training data, product fixes, or new research directions.

Partner with Codex and ChatGPT product teams to understand what users need and translate product signal into model improvements.

Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior.

Help decide which integrations, capabilities, and fixes are ready for inclusion in major model runs.

Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness.

Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments.

Debug hard failures in shipped or near-shipped models and turn messy qualitative behavior into concrete hypotheses, experiments, and fixes.

You might thrive in this role if you:

Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and can learn quickly across the parts you have not worked in before.

Have hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evals, graders, synthetic data, model training, coding agents, tool-using agents, or production ML systems.

Are excited by open-ended problems where the path is unclear, the signal is noisy, and the right answer requires both research taste and engineering execution.

Care about product impact and model behavior, not just benchmark movement. You have opinions about what makes an agent useful, reliable, honest, tasteful, and easy to work with.

Can move from a vague behavioral problem to a concrete experiment: define the hypothesis, build the pipeline, run the model, analyze the result, and decide what to do next.

Are comfortable working across research, product, infrastructure, data, evals, and safety boundaries, and can communicate clearly with each group.

Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous.

Want to train and ship the models that make agents genuinely useful for developers, enterprises, researchers, and everyday users.

Compensation Range: $250K - $380K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, nationa]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, ChatGPT, API, RL]]></skills>
    <expirationdate>2026-07-21T23:08:33.816Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Researcher, Connectors - Agent Post-Training]]></title>
    <date>2026-05-22T23:08:05.419Z</date>
    <referencenumber>cmphxwz0e009unel5n7o58e5q</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/researcher-connectors-agent-post-training-f894382c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve.

We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste.

Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use.

About the Role

As a member of Agent Post-Training, Connectors, you will teach models how to interface with the top professional software using code. You will help train agents to use code, APIs, tools, and structured integrations to operate across applications like Slack, Google Workspace, GitHub, Notion, Linear, Salesforce, and other core systems of work. You will help enable models to take useful actions across a user’s digital context: finding information, updating systems, coordinating work, generating artifacts, and completing multi-step workflows through the tools teams already use.

You will train models to be supercharged by the world’s most important productivity and enterprise software, turning connected tools into a powerful action surface for our agents. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models.

In this role, you will:

Design and run experiments that improve agentic model behavior for complex software and plugins.

Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, reward signals, evals, diagnostics, and model-behavior analysis.

Build evals and environments that expose the next set of model failures, then turn those failures into training data, product fixes, or new research directions.

Partner with Codex and ChatGPT product teams to understand what users need and translate product signal into model improvements.

Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior.

Help decide which integrations, capabilities, and fixes are ready for inclusion in major model runs.

Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness.

Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments.

Debug hard failures in shipped or near-shipped models and turn messy qualitative behavior into concrete hypotheses, experiments, and fixes.

You might thrive in this role if you:

Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and can learn quickly across the parts you have not worked in before.

Have hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evals, graders, synthetic data, model training, coding agents, tool-using agents, or production ML systems.

Are excited by open-ended problems where the path is unclear, the signal is noisy, and the right answer requires both research taste and engineering execution.

Care about product impact and model behavior, not just benchmark movement. You have opinions about what makes an agent useful, reliable, honest, tasteful, and easy to work with.

Can move from a vague behavioral problem to a concrete experiment: define the hypothesis, build the pipeline, run the model, analyze the result, and decide what to do next.

Are comfortable working across research, product, infrastructure, data, evals, and safety boundaries, and can communicate clearly with each group.

Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous.

Want to train and ship the models that make agents genuinely useful for developers, enterprises, researchers, and everyday users.

Compensation Ranges: $250K - $380K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capa]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Salesforce]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Salesforce, Codex, ChatGPT, API, Google Workspace, Slack, GitHub, Notion, Linear]]></skills>
    <expirationdate>2026-07-21T23:08:05.419Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Researcher, Computer Use - Agent Post-Training]]></title>
    <date>2026-05-22T23:07:42.883Z</date>
    <referencenumber>cmphxwz03009snel5c857gryb</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/researcher-computer-use-agent-post-training-76d1e160</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve.

We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste.

Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use.

About the Role

As a member of Agent Post-Training, Computer Use, you will teach models to operate computers. You will help train models that can navigate browsers and desktops, use tools and applications, reason through complex workflows, collaborate with users and other agents, and complete long-horizon tasks with reliability and judgment. This work sits at the intersection of frontier model training, product behavior, evaluation, and systems engineering, and will directly shape the computer-use capabilities shipped in OpenAI’s next generation of agents. Currently, our models are the best in the world at this behavior!

You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models.

In this role, you might

Design and run experiments that improve agentic model behavior for complex computer use, including desktop and browser.

Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, reward signals, evals, diagnostics, and model-behavior analysis.

Build evals and environments that expose the next set of model failures, then turn those failures into training data, product fixes, or new research directions.

Partner with Codex and ChatGPT product teams to understand what users need and translate product signal into model improvements.

Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior.

Help decide which integrations, capabilities, and fixes are ready for inclusion in major model runs.

Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness.

Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments.

Debug hard failures in shipped or near-shipped models and turn messy qualitative behavior into concrete hypotheses, experiments, and fixes.

You might thrive in this role if you

Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and can learn quickly across the parts you have not worked in before.

Have hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evals, graders, synthetic data, model training, coding agents, tool-using agents, or production ML systems.

Are excited by open-ended problems where the path is unclear, the signal is noisy, and the right answer requires both research taste and engineering execution.

Care about product impact and model behavior, not just benchmark movement. You have opinions about what makes an agent useful, reliable, honest, tasteful, and easy to work with.

Can move from a vague behavioral problem to a concrete experiment: define the hypothesis, build the pipeline, run the model, analyze the result, and decide what to do next.

Are comfortable working across research, product, infrastructure, data, evals, and safety boundaries, and can communicate clearly with each group.

Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous.

Want to train and ship the models that make agents genuinely useful for developers, enterprises, researchers, and everyday users.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human n]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Reinforcement Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Reinforcement Learning, Codex, ChatGPT]]></skills>
    <expirationdate>2026-07-21T23:07:42.883Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Strategic Finance, International]]></title>
    <date>2026-05-22T22:43:17.228Z</date>
    <referencenumber>cmphxwz3e00acnel5g2zjysg8</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/strategic-finance-international-6ec1961c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Role

OpenAI’s Applications organization spans several rapidly scaling businesses across Consumer, Enterprise, Developers, and Hardware. As OpenAI expands globally, the international business is becoming an increasingly important driver of growth, requiring deeper financial visibility, regional coordination, and market-specific investment decision-making.

We are hiring a senior Strategic Finance thought partner to work closely with the Business Finance Officer (BFO), regional leadership and other Strategic Finance teams to drive the financial performance of OpenAI’s international business. This role operates at the intersection of strategy, finance, and operations. You’ll help leadership understand regional performance drivers, allocate investment effectively across markets, and ensure the organization scales globally with strong financial discipline.

You’ll also focus on the highest-leverage international priorities: building financial visibility across regions, improving operating rigor, identifying growth opportunities and risks, and ensuring alignment across regional leaders and central functional teams.

This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Periodic international travel is expected, with potential opportunities to live and work from one of our regional offices over time.

In this role, you will:

Own financial visibility and performance management across OpenAI’s international business, including regional revenue, growth, investment efficiency, and operating metrics.

Partner with regional leaders and functional teams to identify opportunities, risks, and operational bottlenecks across key international markets.

Support international expansion planning by helping evaluate market opportunities, investment priorities, and regional scaling strategies.

Develop executive-level reporting and financial narratives to help leadership understand international business performance and inform strategic decision-making.

Coordinate cross-functional planning and forecasting processes across international regions, ensuring alignment between regional teams, Strategic Finance, Data Science, GTM, and Corporate Finance.

Help establish scalable operating frameworks and governance processes that enable OpenAI to manage a rapidly growing global business with increasing rigor and consistency.

Drive international business reviews and recurring operating cadences, helping leadership track progress against regional goals and quickly surface emerging issues.

Partner across the finance organization to support public-company-readiness initiatives and improve the quality, consistency, and scalability of international reporting.

Help design and implement agentic workflows and AI-enabled operating processes that improve financial visibility, forecasting, and execution across global teams.

You might thrive in this role if you have:

10+ total years of progressive experience in Investment Banking, Management Consulting, Private Equity, and Strategic Finance.

4+ years of direct experience Strategic Finance at a high-growth technology company, ideally publicly traded.

Exceptional modeling and analytical skills, with the ability to translate complex business drivers into clear, actionable frameworks.

A proven ability to communicate verbal and written insights at the executive level; and to and influence cross-functional stakeholders at all levels.

Deep curiosity about disparate business models and how a wide range of end markets will be shaped by AI.

Strong organizational and process management skills, with a talent for orchestrating multiple parties to achieve an outcome.

An enthusiastic "roll up your sleeves" mentality and an ability to deal effectively with ambiguity to thrive in an unstructured, fast-paced environment‬.

High enthusiasm for experimentation with and the deployment of AI.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arre]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-21T22:43:17.228Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Executive Programs Narrative Lead]]></title>
    <date>2026-05-22T20:56:14.480Z</date>
    <referencenumber>cmphxwz2g00a6nel5vs5n86mn</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/executive-programs-narrative-lead-6bc8e4e0</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Enterprise Marketing team helps the world's largest organizations understand, adopt, and scale AI responsibly. We partner closely with Sales, Solutions, Product, Research, Customer Success, Events, Comms, and executive leadership to help customers see what is possible with OpenAI and move from interest to action.

Within Enterprise Marketing, the Executive Briefing Center team creates strategic conversations for OpenAI's most important customers and prospects. We bring together customer context, product insight, technical expertise, and executive storytelling to help senior leaders understand what AI can make possible for their business.

About the Role

As the Executive Programs Narrative Lead, you will shape how our most strategic customers experience and understand OpenAI in high-stakes executive moments. You will own the narrative strategy for priority Executive Briefing Center conversations, turning OpenAI's technology, customer insight, and enterprise strategy into bespoke C-suite narratives that help leaders understand where AI can create business value, unlock new ways of working, and support transformation at scale.

This is a senior role for someone who combines strategic storytelling, customer empathy, executive presence, and experience design instincts. You will partner across Sales, Solutions, Product Marketing, Customer Success, Events, Design, and executive stakeholders to build briefing narratives that feel specific, strategic, and commercially relevant.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Develop bespoke executive narratives for priority customer briefings.

Partner with Sales and account teams to understand customer context, transformation goals, buying committee dynamics, and strategic priorities.

Shape briefing arcs that connect OpenAI capabilities to customer business outcomes.

Translate complex AI concepts into clear, credible, executive-level conversations.

Build repeatable narrative frameworks, briefing modules, and planning tools for the EBC motion.

Partner with Design, Events, Product Marketing, Solutions, Customer Success, and executive stakeholders to create high-quality briefing experiences.

Help prepare internal leaders for strategic customer conversations with clear messaging, talk tracks, and briefing materials.

Identify patterns across customer briefings that should inform broader enterprise narrative, content, or field motions.

You might thrive in this role, if you:

Have 10+ years experience building executive-level customer narratives, strategic briefings, innovation programs, transformation workshops, or similar C-suite engagements.

Have a strong track record of turning customer context and complex technology into clear, useful executive conversations.

Have partnered directly with Sales, account teams, customer-facing leaders, executives, design, or strategy teams.

Can operate in ambiguous, high-stakes environments where inputs are incomplete and the story needs to be shaped from first principles.

Bring strong writing, synthesis, and executive communication skills.

Have strong customer empathy and understand what senior enterprise leaders need to hear, discuss, and decide.

Can move between bespoke customer work and repeatable narrative frameworks.

Compensation Range: $266K - $295K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: pro]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-21T20:56:14.480Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Technical Program Manager, Support Delivery]]></title>
    <date>2026-05-22T20:56:10.615Z</date>
    <referencenumber>cmphxwz12009ynel512fdrkc8</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/technical-program-manager-support-delivery-84db6496</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We are looking for a Technical Program Manager to join our Senior Support Engineering team. This role is an exciting opportunity to help define and implement foundational support practices that will scale with OpenAI’s growth. You will lead efforts to establish new operational frameworks, driving process alignment with various internal teams, and leading tooling and automation projects. This position offers the chance to make a significant impact in shaping customer experience while collaborating across multiple teams.

We’re looking for people who thrive at the intersection of project management, systems building, data science/data engineering/software engineering, team enablement, and customer advocacy – and enjoy working cross-functionally in a fast-paced, evolving environment.

This role is based in San Francisco, CA, and follows a hybrid work model of 3 days in-office per week. Relocation assistance is available.

In this role, you will:

Lead support delivery programs for Tier 3 frontline delivery for our most strategic customers, including productivity and workflow improvements, team operations, and knowledge management for the Support Delivery team

Partner with Support Delivery and cross-functional leadership to define the experience, stand up the program, manage pilots and rollout, and ensure premium operations and playbooks stay healthy over time

Lead strategy and program design for internal support initiatives, including specialization programs, quality initiatives, community support, product reliability and launch supportability

Coordinate requirements, implementation, and ongoing iteration with internal build owners and systems partners

Lead projects to identify, implement, and scale tools and automation that improve customer support efficiency and effectiveness

Identify and scale practical AI-powered workflows across support operations, using automation, LLMs, and internal tooling to reduce manual work, improve resolution quality, and help the team operate more effectively at scale

Collaborate across teams to identify opportunities for improvement, reduce friction, and enhance overall customer satisfaction

Help shape the vision and strategy of a new team, contributing to its long-term success and influence across the organization

You might thrive in this role if you:

Have 8+ years of experience in program management, operations, or support engineering, with a focus on building scalable processes and tooling

Have shipped or maintained tools and automations (dashboards, ETL pipelines, low-code apps) that eliminated manual work and scaled beyond a single team

Treat ChatGPT &amp; LLMs as default co-developers, rapidly turning natural-language ideas into working code or queries

Deeply enjoy working cross-functionally and are skilled at building relationships with Product, Engineering, and Operations teams

Excel in a dynamic, high-impact team environment where you can create structure and make meaningful contributions

Are passionate about using tools and automation to drive efficiency and improve customer outcomes

Possess exceptional communication, organization, and problem-solving skills

Have a high ownership mindset with a bias toward action; comfortable operating in ambiguity, driving clarity, and rolling up their sleeves to get things done

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified app]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[LLMs]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[LLMs]]></skills>
    <expirationdate>2026-07-21T20:56:10.615Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer,  ML Systems & Training Architecture]]></title>
    <date>2026-05-22T20:36:52.852Z</date>
    <referencenumber>cmphxwyyo009mnel5iebzwmwc</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-ml-systems-training-architecture-d0e8cb60</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives.

About the Role

As a Senior Software Engineer, ML Systems &amp; Training Infrastructure, you will be a deeply hands-on engineering force multiplier for the robotics team. You will help keep the training framework and surrounding infrastructure healthy, review and improve code quickly, debug failures across ML systems and infrastructure, and unblock researchers and engineers when the path from idea to working training job gets rough.

We’re looking for people who love writing, reading, reviewing, and fixing code; who can get productive quickly in unfamiliar systems; and who bring strong practical judgment without a lot of ego or process overhead.

This role will be based in San Francisco, CA and be expected in office 5 days per week and offer relocation assistance to new employees.

In this role, you will:

Review, improve, and clean up code across training frameworks and adjacent infrastructure.

Identify risky or low-quality changes before they land, and raise the code quality bar without slowing the team down.

Debug issues across ML training systems, GPUs, clusters, networking, and related infrastructure.

Help researchers and engineers unblock broken training jobs, flaky workflows, and brittle internal tooling.

Improve the reliability, maintainability, and usability of the robotics team’s training framework.

Move quickly on practical engineering problems that directly affect team velocity.

You might thrive in this role if you:

Have strong software engineering fundamentals and excellent code review judgment.

Have experience with ML systems, training frameworks, GPUs, distributed systems, infrastructure, or similarly complex technical environments.

Read and debug unfamiliar codebases quickly, and enjoy getting to root cause.

Ship high-quality code with strong velocity and pragmatic judgment.

Are low-ego, responsive, and motivated by helping researchers and engineers move faster.

Prefer being a highly effective hands-on IC over driving broad process-heavy initiatives.

Have experience reviewing messy, fast-moving, or AI-generated codebases.

Compensation Range: $295K - $380K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challeng]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ML Systems]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[ML Systems, GPUs, Distributed Systems]]></skills>
    <expirationdate>2026-07-21T20:36:52.852Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Design Program Manager]]></title>
    <date>2026-05-22T18:13:56.603Z</date>
    <referencenumber>cmphxwz2600a4nel53puxvntr</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-design-program-manager-25b2dd32</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Product Design team works across research, engineering, and product to bring OpenAI’s technology to the world through intuitive, responsible, and accessible experiences.

We serve a diverse and growing audience of users—from everyday consumers to developers to large enterprises—and we believe thoughtful design is essential to making powerful AI tools useful and understandable. We seek to learn from real-world deployment and distribute the benefits of AI, while ensuring that this transformative technology is used safely and ethically. Safety is more important to us than unfettered growth.

Design plays a critical role here. To succeed in our mission, it’s essential that our design teams can focus on high-impact work, supported by clear systems, strong execution, and seamless cross-functional collaboration. We’re hiring a Product Design Program Manager to help build the infrastructure that enables design to thrive. As a foundational member of design program management, you’ll help shape how the team plans, collaborates, and delivers work across a fast-evolving product landscape.

About the role

We’re looking for an experienced Product Design Program Manager to help us scale, support, and streamline operations across our growing product design organization. This role is both strategic and hands-on—foundational in shaping how the team operates, and deeply involved in the day-to-day execution that enables great design work to happen.

You’ll work closely with product design leadership, research, engineering, product management, and other partners to ensure the design team can deliver high-quality work at speed and scale. The ideal candidate brings a deep understanding of design operations in high-growth technology organizations, matched with adaptability, attention to detail, and a strong sense of ownership.

This role is based in our San Francisco HQ. We offer relocation assistance to new employees.

In this role, you will:

Partner with design leadership to identify and implement programs, processes, and tools that help the team operate more effectively across multiple product workstreams.

Lead operational planning and execution for key initiatives, including team-wide rituals, hiring coordination, onboarding, resource allocation, and internal communications.

Build and maintain scalable systems that support team growth, executional excellence, and strong collaboration with research, engineering, and product counterparts.

Oversee asset management practices across the design organization, ensuring shared libraries, templates, and systems are version-controlled, accessible, and consistently used.

Manage external vendors and contractors—handling onboarding, scoping, resourcing, contract workflows, and performance tracking to extend the team’s capacity with quality and accountability.

Partner closely with Product and Engineering Operations to align OKRs, roadmaps, and delivery milestones.

Help manage intake, prioritization, and resource planning for design work across a fast-moving and highly collaborative product environment.

Drive clarity around ownership, roles, and execution timelines—ensuring the right people are in the loop at the right time.

Facilitate retrospectives, team health check-ins, and continuous improvement efforts to help the team operate at its best.

Jump in where needed—whether that’s standing up a new system, running a sprint planning session, onboarding a vendor, or troubleshooting a tool.

You might thrive in this role if you:

Have 8+ years of experience in design operations roles within high-growth tech environments.

Have built and scaled 0-1 operational systems across multidisciplinary teams—balancing long-term vision with hands-on execution.

Have a flexible orientation toward process–understanding when it's most effective, how and when to advocate for it, and what it can't do

Are deeply familiar with the design and product development process—from early research and concepting through delivery and iteration.

Have experience managing shared design tools, assets, and libraries to support consistency and efficiency at scale.

Are skilled at vendor and contractor management, with a focus on enabling seamless collaboration and high-quality outcomes.

Are highly organized, action-oriented, and comfortable getting in the weeds to get things done.

Are a strong communicator and collaborator, experienced in working with senior leadership, technical partners, and designers of all levels.

Thrive in fast-paced environments and enjoy solving problems in real time to help teams move forward.

Compensation Range: $216K - $240K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Product Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Product Management]]></skills>
    <expirationdate>2026-07-21T18:13:56.603Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[GTM Readiness & Activation]]></title>
    <date>2026-05-22T17:24:47.897Z</date>
    <referencenumber>cmphxwz3300aanel5ithmy6f0</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/gtm-readiness-activation-be110e05</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York City]]></city>
    <country>US</country>
    <description><![CDATA[About the company

OpenAI’s mission is to build and ensure that safe artificial general intelligence (AGI) benefits all of humanity. This long-term undertaking brings together the world’s best scientists, engineers, and business professionals to accomplish this.

About the team

The GTM Readiness &amp; Activation team translates OpenAI’s product innovation into real-world customer impact. We equip customer-facing teams with the knowledge, tools, and frameworks they need to succeed with customers.

Our work connects strategy to execution — helping the field understand what matters, how to act on it, and how to deliver measurable outcomes for customers and the business.

About the role

OpenAI is hiring a GTM Readiness &amp; Activation Manager to drive the activation of key GTM priorities across sales and customer-facing teams.

This role focuses on translating company and GTM strategy into clear, repeatable execution in the field. You will design and run programs that help teams adopt new selling motions, operationalize launches, and drive measurable impact in pipeline and customer outcomes.

You will work closely with GTM leadership and partner across Product Marketing, RevOps, and Product teams to ensure initiatives land clearly and consistently in field execution.

This role is based in New York. We offer relocation assistance to new employees.

In this role, you will:

Drive the global rollout of GTM initiatives across segments and regions, building scalable programs and enabling teams to adapt them for local markets and customer contexts

Define and build repeatable operating playbooks for various GTM initiative types (e.g., launches, vertical programs, operational changes), establishing scalable rhythms for how enablement plans, communicates, and executes these programs across regions and markets

Own and run GTM programs end-to-end, defining the program plan and operating cadence, aligning Sales and cross-functional stakeholders, and managing rollout so initiatives land clearly in field execution

Orchestrate cross-functional teams across Sales, Product Marketing, RevOps, Marketing, and Product to align priorities, timing, and execution for GTM initiatives

Create and ship high-quality, field-ready content experiences and AI-native workflows, such as field content packs and playbooks, messaging hubs, e-learning pathways, and training program materials that help teams execute effectively

Ensure GTM initiatives translate into measurable outcomes, tracking adoption of new motions, pipeline generation, and overall GTM performance, and iterating programs based on field signals and data

You might thrive in this role if you:

Enjoy turning complex strategy into clear, repeatable programs that drive real execution

Have experience building and scaling GTM programs in high-growth technology companies

Build trust quickly with senior GTM leaders and operate credibly in executive forums

Are a clear and effective communicator who keeps complex workstreams aligned, stakeholders informed, and programs moving forward

Are comfortable with ambiguity and proactively define the path forward when it isn’t obvious

Think in systems and operating rhythms rather than one-off solutions

Comfortable working in fast-moving environments where priorities evolve or change quickly

Energized by 0→1 work — defining new programs, building the structure around them, and scaling what works

Obsessed with pushing the frontier of enablement — building AI-native experiences that help teams learn faster and execute better

Basic qualifications:

10+ years in Sales Strategy, Revenue Programs, Sales Ops, Enablement or Sales Leadership, or adjacent GTM roles, with a track record of building programs from zero to scale

Experience operating in high-growth SaaS or platform environments with complex, multi-motion GTM

Strong executive presence — you earn trust quickly with Sales and GTM leaders through clarity, judgment, and credibility

Proven ability to lead complex, cross-functional GTM rollouts across regions and segments, including change management and shifts in how the field sells

Strong judgment and decision-making ability in ambiguous environments

Strong technical and product instincts — comfort learning technical concepts quickly, engaging credibly with technical stakeholders, and translating product changes into field-ready motions

Strong understanding of enterprise sales organizations and how field teams operate in practice

Fluency in pipeline mechanics, data insights, and GTM tradeoffs, with the ability to translate signals into decisions and decisions into execution

Experience using AI tools or building AI-driven workflows for learning programs or to improve GTM productivity, enablement, or operational processes

Preferred qualifications

Direct experience in sales or customer-facing roles

Experience facilitating trainings, workshops, or field enablement sessions for sales or customer-facing teams

Compensation Range: $2]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-21T17:24:47.897Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, API SDK]]></title>
    <date>2026-05-22T17:19:45.625Z</date>
    <referencenumber>cmphxwz0q009wnel5pr3n9189</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-api-sdk-2d6f79d3</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Seattle]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

Our team brings OpenAI’s most capable technology to the world through our developer platform: the OpenAI API. As the leading AI development platform, our API is used by millions of developers and the majority of enterprises around the world, and powers the majority of AI applications that you may use on a daily basis.  The platform supports everything from simple model calls to stateful, multimodal, tool-using applications through the Responses API, Agents SDK, Realtime API, and more. Our SDKs turn that fast-moving platform into reliable, idiomatic developer experiences across languages.

About the Role

We are looking for a software engineer to help build the official SDKs that power the OpenAI API. Currently offered in Python, Node.js, Golang, Java, and Ruby – our SDKs are some of the most popular in the world. You will help shape the developer experience for all new API features, as well as all future versions of our APIs. We are looking for engineers who will sweat the details about SDK design, who love building for AI developers, and who believe in the potential for AI to transform the world for the better. Prior experience building SDKs is lovely, but not absolutely necessary.

In this role, you will:

Define and implement the SDK experience for all new API features, as well as all future versions of our API.

Build and maintain our systems to make SDK maintenance and generation streamlined and automated.

Contribute to our SDK strategy and roadmap, including which languages to support and what features to support.

Collaborate closely with the rest of the API team, our Developer Experience team, and our GTM team to make our SDKs the best in the world.

Work directly with developers adding features, fixing issues, and contributing to documentation.

 Your background might look something like:

7+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies

You love building for other developers, and thrive on feedback from opinionated users

You thrive working in the open source community, and love engaging directly with developers

You can thrive and operate independently in a fast-paced environment with ambiguous requirements and goals

You are an engineer at heart, but are willing to lean into product decisions

You have previous experience maintaining SDKs or building SDK generation software

Compensation Range: $293K - $385K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of techno]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Python]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Python, Node.js, Java, Ruby, APIs]]></skills>
    <expirationdate>2026-07-21T17:19:45.625Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Capacity Systems Software Engineer]]></title>
    <date>2026-05-22T17:13:50.417Z</date>
    <referencenumber>cmphxwy6l009knel58pzrgpbe</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/capacity-systems-software-engineer-61324dc3</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI's Industrial Compute organization is responsible for planning, delivering, operating, and optimizing the compute infrastructure that powers frontier AI.

As OpenAI scales toward becoming an intelligence utility, Industrial Compute coordinates a complex lifecycle spanning infrastructure strategy, capacity planning, provider partnerships, fleet operations, product demand, and financial planning. The organization manages one of the largest and fastest-growing compute footprints in the world, where decisions around capacity allocation, deployment readiness, utilization, reliability, and product demand directly impact product availability, customer experience, and business performance.

The Capacity Systems team builds the software platforms, data systems, and automation frameworks that connect these functions into a shared operating model. We transform fragmented planning workflows into scalable systems that enable teams to understand what compute was contracted, delivered, healthy, allocated, and ultimately converted into business and research outcomes.

About the Role

We are seeking a Capacity Systems Software Engineer to build the platforms and services that power Industrial Compute planning, forecasting, optimization, and operational decision-making.

In this role, you will design and develop software systems that connect infrastructure delivery, fleet health, capacity allocation, demand forecasting, deployment readiness, financial planning, and product consumption into a unified system of record. Your work will help OpenAI make better decisions about where compute should be deployed, how capacity should be allocated, and how infrastructure investments translate into business value.

You will partner closely with Capacity Planning, Fleet Operations, Infrastructure Engineering, Product, Finance, Supply Chain, and Strategic Sourcing teams to replace spreadsheet-driven workflows with scalable software systems that enable visibility, automation, and decision support across OpenAI's global compute footprint.

This role is ideal for engineers who enjoy building internal platforms, operational systems, workflow automation, and data-intensive applications that sit at the intersection of software, infrastructure, and business operations.

This role is based in San Francisco and follows OpenAI's hybrid work model of 3 days per week in the office.

Why This Role Matters

Demand for compute is growing faster than traditional planning systems can support.

Capacity decisions increasingly require understanding complex tradeoffs across infrastructure delivery, fleet health, model deployment, latency, utilization, cost, revenue impact, and operational risk. The systems built by this team help transform compute from a collection of disconnected operational signals into a measurable, optimizable business capability.

Success in this role will help create a world where every major unit of compute can be traced from infrastructure commitment through delivered business value, enabling faster launches, higher utilization, improved operational efficiency, and better decision-making across OpenAI.

Key Responsibilities

Design and build software systems that serve as the system of record for Industrial Compute planning and operations.

Develop backend services, APIs, workflows, and data platforms that support capacity forecasting, allocation, deployment readiness, and operational planning.

Build applications that connect infrastructure delivery, fleet health, capacity utilization, product demand, and financial planning into a shared operational view.

Build planning and scenario-modeling systems that help leaders understand tradeoffs across capacity, utilization, cost, reliability, launch timing, and business impact.

Create workflow automation and decision-support tooling that improves planning accuracy and reduces operational overhead.

Partner with Capacity Planning, Fleet Operations, Product, Finance, Infrastructure Engineering, Supply Chain, and Strategic Sourcing teams to understand operational workflows and translate them into software systems.

Drive architecture decisions across planning platforms, operational tooling, and internal infrastructure systems.

Improve data quality, observability, and operational visibility across Industrial Compute programs.

Build extensible software foundations that scale alongside OpenAI's rapidly growing infrastructure footprint.

Qualifications

5+ years of experience in software engineering, platform engineering, infrastructure engineering, or related technical disciplines.

Strong programming experience in Python, Go, Java, TypeScript, or similar languages.

Experience building distributed systems, backend services, internal platforms, workflow systems, or operational tooling.

Experience designing APIs, data pipelines, and integrations across multiple systems.

Strong system design and software architecture skills.

Experience working with large operational da]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[APIs]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[APIs, Python, Java, TypeScript, Distributed Systems, SQL, Cloud]]></skills>
    <expirationdate>2026-07-21T17:13:50.417Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Director, Digital Support]]></title>
    <date>2026-05-22T01:56:11.649Z</date>
    <referencenumber>cmpgihjhj03qsv2xq382vhs55</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/director-digital-support-d6a8591b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the role

We're hiring a Director of Digital Support to own how Cursor customers get help without waiting on a human when digital is the right answer. You'll lead our AI digital support strategy and run our help center and forum end to end — from content and community to AI agents, search, and the systems that make self-serve actually work for developers. This role reports directly to the Head of User Operations.

 This is a high-ownership leadership role at the intersection of product, content, and operations. You'll define the digital support experience for millions of users, partner closely with our human support organization on handoffs and quality, and work with Product, Engineering, and Docs to turn customer pain into better product and better answers. If you want to build an AI-native digital support function at one of the fastest-moving developer tools companies in the world, this role is for you.

What you’ll do

Own Cursor's AI digital support strategy — where agents live, what they can do, how they escalate, and how we improve them over time.

Run the help center: information architecture, content quality, findability, and the workflows that keep help accurate as the product ships fast.

Own the forum as a scaled support and community surface — moderation strategy, health, tooling, and how forum signal flows back into product and support.

Design customer journeys across education and resolution, balancing self-serve, AI-assisted, and human support with clear intent.

Build and lead a focused team across content, digital experience, community, and AI support operations as scope grows.

Define the metrics and operating rhythm for digital support — adoption, resolution, quality, customer effort, and community health.

Partner with Technical Support and User Ops leadership on escalation paths, voice of customer, and shared quality standards.

Work with Product and Engineering on in-product help, instrumentation, and fixes that reduce friction at the source.

Run disciplined experiments on AI support — cohort rollouts, evals, guardrails, and continuous improvement from real customer conversations.

Turn support signal into action: knowledge gaps, recurring issues, and product feedback that reaches the right teams quickly.

You may be a fit if

You've built or led digital support, self-service, knowledge, or community functions at a SaaS or developer tools company.

You've shipped or scaled customer-facing AI support in production — not just pilots — and you care deeply about trust, accuracy, and measurement.

You've owned a help center or knowledge base at meaningful scale and know what good looks like for a technical audience.

You're a strong operator: you set strategy, define KPIs, and stay close enough to the work to know what's actually breaking.

You write and think clearly about technical topics, and you communicate well with engineers, support engineers, and executives.

You partner well across functions and don't treat digital support as a ticket-deflection exercise.

Big plus: you're already a Cursor user (or power user of modern AI coding tools) with strong opinions about what great support looks like.

Self-starter with curiosity, creativity, and a bias for action.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cursor, Flows]]></skills>
    <expirationdate>2026-07-21T01:56:11.649Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Sales Development Manager, Enterprise (AMER)]]></title>
    <date>2026-05-21T23:51:22.250Z</date>
    <referencenumber>cmpgih02902ygv2xqru0ozpoh</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/sales-development-manager-enterprise-amer-856b015a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the teamOpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business—from ChatGPT Enterprise to our developer platform and APIs.

We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments.

Sales Development sits at the front of this motion—where technical curiosity becomes executive engagement and OpenAI’s enterprise relationships begin.

About the roleWe are hiring a Sales Development Manager, AMER to lead a team of SDRs supporting our Large Enterprise business across North America. Reporting into Sales Development leadership, this role will be responsible for coaching and developing a high-performing team focused on generating qualified pipeline and creating strategic enterprise opportunities.

This is a foundational front-line leadership role within OpenAI’s enterprise GTM organization. You will help define how we engage prospective customers, convert product and developer interest into enterprise conversations, and scale repeatable outbound and inbound motions across some of the world’s largest organizations.

You will partner closely with Sales, Marketing, Solutions Engineering, Partnerships, and Strategy &amp; Operations to drive pipeline generation and help shape the future of OpenAI’s enterprise growth engine.

In this role, you will:Lead, coach, and develop a team of SDRs supporting Large Enterprise, Verticals, and Strategic Accounts across AMER

Drive high-quality pipeline generation through outbound prospecting, inbound qualification, account-based motions, and product-led signals

Establish strong operational rigor around activity metrics, conversion rates, pipeline quality, and execution consistency

Partner closely with Account Directors and enterprise sales leadership on territory planning, account prioritization, and opportunity development

Help define scalable SDR playbooks across outbound, inbound, ABM, partner-sourced, and product-led motions

Coach SDRs on executive communication, discovery, account research, and strategic prospecting

Build a high-performance, collaborative, and low-ego team culture focused on continuous improvement

Work cross-functionally with Marketing, Partnerships, Solutions Engineering, and Strategy &amp; Operations to optimize pipeline generation efforts

Support hiring, onboarding, and ramping of new SDR talent as the organization scales

Bring market feedback and customer insights back into the broader GTM organization

You may thrive in this role if you:Have 6–10+ years of experience in sales, business development, or GTM roles

Bring experience managing SDRs or business development teams in enterprise SaaS or platform businesses

Have a strong understanding of enterprise prospecting, pipeline generation, and outbound strategy

Are highly operational and data-driven, with experience managing metrics, conversion funnels, and forecasting

Thrive in fast-paced, high-growth environments with evolving processes and ambiguity

Have experience partnering closely with Enterprise Sales teams on strategic account development

Are an exceptional coach who knows how to develop early-career talent into high-performing sales professionals

Communicate effectively with both technical and executive stakeholders

Lead with high standards, accountability, and a low-ego mindset

Are excited about helping enterprises adopt transformative AI technologies

Compensation Range: $261K - $305K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fa]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, APIs]]></skills>
    <expirationdate>2026-07-20T23:51:22.250Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Marketing Analytics Lead]]></title>
    <date>2026-05-21T22:01:22.237Z</date>
    <referencenumber>cmpgih2zj03igv2xq4voalovd</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/marketing-analytics-lead-75645a6c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies.

Marketing Insights &amp; Analytics team specifically aims to to understand the markets, audiences, behaviors, attitudes and needs to shape outreach strategies and inform product and business decisions.   We’re the strategic partner that discovers insights, specifically foundational understanding, insights for marketing strategy, thought leadership, measurement and tracking.

About the Role

You will be the analytics lead that defines a data-driven marketing development and measurement culture at OpenAI.  This is critical as we hope to reach millions of users and businesses worldwide.

In this role, you will:

Define KPIs for campaigns and marketing programs.

Develop clear measurement frameworks. Implementing full-funnel measurement and attribution tools to inform marketing investment.  Providing data and insights that allow the org to assess performance and drive planning.

Design experiments to measure marketing campaign impact

Analyze large data sets, design and perform statistical analysis

Explore marketing or behavioral data to identify trends and key insights that uncover new growth opportunities or areas for efficiency improvements.

Develop dashboards, reports and other ways of enabling the team to answer data questions in a self-serve way.

Lead/participate in xfn collaboration with other analytics and marketing teams.

You might thrive in this role if you:

7+ years experience in a quantitative role navigating a highly ambiguous environment

Experience designing experiments with clear insights utilizing SQL and Python

Experience working with marketing org designing tests (e.g. matched market, holdout/exposed) for campaigns.

Experience defining goals for campaigns and marketing programs.

Experience building measurement plans and capability

Familiar with data sources such as media measurement, web analytics, social listening, and brand lift studies.

Excellent communication skills with demonstrated ability to communicate with marketing and executives.

Nice-to-have: demonstrated prior experience in NLP, large language models or generative AI.

Workplace &amp; Location:

San Francisco is preferred. We operate on a hybrid model and expect team members to be in the office three days per week. We are open to remote candidates, with the expectation of frequent travel to San Francisco for team collaboration, planning, and key milestones.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this fo]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Python]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Python, SQL, NLP]]></skills>
    <expirationdate>2026-07-20T22:01:22.237Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Strategic Delivery Lead, International Public Sector]]></title>
    <date>2026-05-21T21:23:24.462Z</date>
    <referencenumber>cmpgih38603jyv2xqz4mtjlbg</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/strategic-delivery-lead-international-public-sector-d74398b9</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[About the team

The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how public institutions achieve their missions. Our team works to empower public servants with secure, compliant AI tools and mission-aligned deployments that meet government technical, policy, security, and sovereignty requirements with strong reliability and safety.

As part of the OpenAI for Government team, you will work with public sector institutions globally outside the United States to accelerate responsible adoption of frontier AI. If you are passionate about helping governments serve their communities more effectively, we want you on our team.

About the Role

The Strategic Delivery Lead (SDL) for International Public Sector will lead some of OpenAI’s most complex and high-impact deployments with public sector customers outside the United States. You will work with senior government, multilateral, and partner stakeholders to turn hard institutional and mission problems into practical deployments on the OpenAI Platform API and ChatGPT Enterprise. The role is highly cross-functional and customer-facing: you will partner with Research, Engineering, Go-to-Market, Global Affairs, Legal, Security, and external stakeholders to align scope, unblock delivery, and communicate progress at every level, from technical teams to C-suite.

You will own and drive delivery workstreams led by specialist internal technical and engineering teams, ensuring clear problem-framing, milestones, risk management, issue resolution, and translation between public-sector objectives and technical solutions. As a trusted generalist with strong technical fluency, you will move between strategy, technical scoping and discovery, delivery planning, adoption, governance, relationship management, and issue resolution without supervision.

This is a high-trust, high-autonomy role. Accountability for contractual milestones and acceptance criteria sits with you. Success requires excellent judgement, adaptable programme leadership and management, executive presence, and the ability to turn broad leadership guidance into practical action while escalating when needed.

In this role, you will:

Forge partnerships with public sector leaders and AI users globally, in line with strategic priorities, to deliver the most impactful AI and AGI use cases.

Serve as the accountable lead for international public sector engagements tied to clear outcomes, customer milestones, adoption metrics, and commercial commitments.

Translate between technical teams and business, policy, security, and operational stakeholders, clearly communicating progress, risks, requirements, and dependencies.

Work with government departments, strategic partners, multilateral institutions, operational delivery partners, and policy/security stakeholders to translate responsible AI use cases into actionable delivery plans.

Partner with technical teams to scope projects, guide technical direction, anticipate blockers, and align teams.

Operate as a generalist across opportunity development, pilot shaping, delivery governance, adoption, and risk management as the team scales.

Exercise judgement and initiative under ambiguity, staying aligned with leadership priorities without day-to-day direction.

Establish best practices around milestone tracking, internal coordination, customer governance, and delivery operations at scale.

Lead regular progress reviews with international public sector stakeholders, ensuring transparency and confidence in delivery.

Identify delivery, policy, security, procurement, data, and stakeholder risks early and work cross-functionally to mitigate blockers and maintain programme velocity.

Navigate ambiguity and evolving requirements with composure, helping internal and external teams stay aligned.

Help shape the future of how OpenAI engages with international public sector customers through reusable delivery practices, responsible deployment patterns, and milestone-based programmes.

You might thrive in this role if you:

Have 10+ years in public sector consulting, delivery leadership, transformation, enterprise technology, or senior programme management.

Are based in the UK or EU, or otherwise able to support public sector customers globally outside the United States, and are willing to travel up to 50% to work on-site with customers and partners.

For UK-based candidates, hold or be eligible for UK SC/DV or comparable clearance; EU-based candidates should have regulated public sector experience.

Have experience leading organisational transformation initiatives (AI, digital, technology, or business transformation) directly with government, public sector, or highly regulated institutions.

Have led complex programmes in enterprise SaaS, AI/ML, consulting, systems integration, gov tech, or transformation environments.

Have a proven track record influencing and shaping customer decision-making at executive, policy, operational, and t]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT]]></skills>
    <expirationdate>2026-07-20T21:23:24.462Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Project Manager, Design and Construction]]></title>
    <date>2026-05-21T19:15:25.198Z</date>
    <referencenumber>cmpgih39a03k6v2xq0s35wvhz</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-project-manager-design-and-construction-441e40a9</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Real Estate team at OpenAI is responsible for delivering workplaces that exist at the intersection of operational excellence and elevated aesthetics, and managing OpenAI’s real estate portfolio to ensure that the organization is well-positioned for success in pursuit of our mission.

About the Role

As a Project Manager on the Design and Construction team, you will have the unique opportunity to shape OpenAI’s global footprint and drive the growth of the Design and Construction team. You’ll manage the full lifecycle of commercial construction projects, from initial design to final handover, and collaborate with internal and external partners to keep our expansion plans running at peak efficiency.

This role is based in San Francisco, CA, but you will be expected to travel to project sites on occasion. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Oversee and execute a wide range of projects simultaneously—from complex retrofits to large-scale buildouts—ensuring each is accurately defined, adequately staffed, and delivered on time and within budget, while also leading critical project management initiatives and specialty programs (such as EBCs and other unique construction efforts).

Collaborate cross-functionally with teams like Real Estate, Corporate Security, IT, Finance, and external stakeholders, including contractors and architects.

Manage capital budget planning, variance tracking, and financial reporting for all projects.

Conduct detailed project estimating, budgeting, and financial analysis to ensure fiscal responsibility and efficiency.

Engage in continuous improvement initiatives to evolve our design and construction processes.

Engage and actively manage external vendors to deliver high-quality work.

You might thrive in this role if you:

Have 5+ years of experience delivering commercial interiors and workplace environments, including tenant improvement (TI) projects ranging from small flex spaces through large-scale or multi-building campus buildouts from 100,000 - 1 million sqft.

Bring a background in architecture, interior design, construction project management and have directly managed TI projects in hyper scaling tech companies.

Have led multiple concurrent projects across geographies, with a track record of delivering on time, within budget, and to a high design standard.

Possess deep expertise in construction budgeting, forecasting, and financial analysis, with the ability to communicate cost drivers to non-technical stakeholders.

Excel at building relationships with external vendors, consultants, GCs, and internal teams, and can drive accountability across disciplines.

Demonstrate strong leadership, ownership, and collaboration skills, with the ability to align diverse teams toward a unified project vision.

Lead vendor management and contract administration, including sourcing, negotiating, and managing agreements to ensure compliance, cost-effectiveness, and alignment with project goals

Are an exceptional communicator—clear, concise, and confident in written, verbal, and large-group presentation settings, including with senior executives and high-level stakeholders.

Thrive in a high-performance, fast-paced culture where time, energy, and attention to detail are in constant demand across multiple priorities and projects.

Compensation Range: $216K - $240K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Project Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Project Management, Excel]]></skills>
    <expirationdate>2026-07-20T19:15:25.198Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Quality & Developer Tools | Consumer Devices]]></title>
    <date>2026-05-21T19:03:36.475Z</date>
    <referencenumber>cmpgigziq02tgv2xq6y2usb56</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-quality-developer-tools-consumer-devices-7164c241</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe Systems Integration team is responsible for building the infrastructure, tooling, and validation systems that ensure our device software is reliable, testable, and ready to ship. We design and maintain automated test frameworks, hardware-in-the-loop labs, and release pipelines that keep quality signals trustworthy and enable rapid, safe product launches. Our work spans developer tools, automation, systems integration, and cross-team collaboration to ensure every release meets the highest standards.

About the RoleAs a Software Engineer, Quality and Developer Tools, you will build and own the systems that validate our device software—from test frameworks and regression infrastructure to hardware-in-the-loop labs and release gates. You’ll design the tooling and automation that keep quality signals trustworthy, integrate them into CI/CD, and make it easy for engineers and QA vendor technicians to execute reliable, repeatable workflows.

We’re looking for engineers with deep experience in software quality, automation, developer tooling, and hardware-software integration who thrive on building scalable, reliable systems for validation and release readiness.

This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.

In this role, you will:Test infrastructure &amp; frameworks: Design, implement, and maintain a unified test framework for device software across unit, integration, system, and end-to-end testing, with reproducible runs and integrations with GitHub, Linear, and Slack.

CI/CD integration &amp; releases: Integrate test suites with Buildkite, enforce promotion criteria for staging and production, auto-file regressions, and publish traceable artifacts and release notes.

Hardware-in-the-loop lab design &amp; orchestration: Plan and bring up racks, power and networking systems, and orchestration for device testing; support automated flashing, provisioning, and telemetry capture.

Automation and developer tooling: Develop tools for API and firmware validation, result triage, log capture, replayable bug reports, and workflows that improve engineering velocity and debugging efficiency.

Quality signals, metrics, and flake control: Build dashboards and alerts for pass rates, stability, and release readiness; detect and quarantine flaky tests; drive root-cause analysis with owners; and track delivery metrics that protect release health.

Vendor enablement: Create clear procedures and tooling that allow QA vendor technicians to execute repeatable processes, review their reports, and maintain a queue of rig maintenance and repairs.

Cross-team collaboration: Partner with embedded and systems software teams on testability, and with release infrastructure engineers on pipelines, signing, staged rollouts, and rollback/forward strategies.

You might thrive in this role if you:Have deep experience building software quality, test automation, or developer tooling systems for hardware products shipped at scale.

Are proficient in Python, C, C++, or Rust, and have strong Linux fundamentals, including processes, networking, storage, and udev/systemd.

Have experience building CI/CD pipelines, artifact management systems, and reproducible or isolated test environments.

Have demonstrated success designing and operating hardware-in-the-loop labs and device orchestration systems at scale.

Are fluent with test reliability techniques such as failure triage, flake detection and quarantine, and signal-quality guardrails.

Have strong debugging skills across software, firmware, devices, and release infrastructure.

Work well across teams and enjoy improving the systems that make engineering and release processes more scalable and reliable.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[CI/CD]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[CI/CD, GitHub, Linear, Slack, Python, Rust, Linux]]></skills>
    <expirationdate>2026-07-20T19:03:36.475Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Release Engineer | Consumer Devices]]></title>
    <date>2026-05-21T19:02:39.464Z</date>
    <referencenumber>cmpgih01a02y8v2xqgejro2kl</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/release-engineer-consumer-devices-6729f071</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe Release Engineer team is responsible for building and maintaining the systems that power software delivery—from CI/CD pipelines and artifact management to release automation and fleet telemetry. We ensure software across bootloaders, firmware, operating systems, and cloud services is built reproducibly, validated rigorously, and released safely at scale.

About the RoleAs a Release Engineer, you’ll design, build, and operate release infrastructure that enables reliable, secure, and traceable software delivery across complex multi-component systems. You’ll partner closely with embedded, cloud, and QA teams to ensure that every build—from development to OTA deployment—is fast, verifiable, and production-ready.

We’re looking for engineers who take pride in automation, build reproducibility, and system reliability—and who enjoy building the connective tissue that allows hardware and software to ship together seamlessly.

This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.

In this role, you will:Design and operate CI/CD pipelines for multi-component builds (bootloader, firmware, OS images, backend, companion apps) using hermetic toolchains.

Define versioning and branching strategies; automate promotions, changelogs, and artifact retention.

Integrate unit, integration, and hardware-in-the-loop (HIL) test results; quarantine flaky tests, auto-bisect failures, and block unsafe promotions.

Build A/B OTA update flows with verity and health checks; run staged rollouts and canaries; implement safe rollback and roll-forward strategies.

Implement code signing for binaries and firmware, generate SBOMs, run vulnerability scanning, and attach build attestations and provenance.

Manage dashboards and alerts for build health, promotion latency, failure rates, and fleet update telemetry.

You might thrive in this role if you:Have experience building and operating build and release systems for consumer devices, robotics, mobile, or embedded products.

Are proficient in scripting and automation languages such as Python or Bash.

Have strong Linux user-space fundamentals.

Have experience with GitHub Actions or Buildkite, artifact registries, and reproducible toolchains.

Have experience managing vendor BSPs and toolchains.

Have delivered secure OTA or image updates with staged rollouts at scale.

Are familiar with key management and supply-chain hardening.

Have a track record of metrics-driven improvement and continuous optimization.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[CI/CD]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[CI/CD, Cloud, Flows, Python, Linux, GitHub Actions]]></skills>
    <expirationdate>2026-07-20T19:02:39.464Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Forward Deployed Security Engineer]]></title>
    <date>2026-05-21T17:56:39.330Z</date>
    <referencenumber>cmpgih35o03jkv2xq93bupxzt</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/forward-deployed-security-engineer-29979e41</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Washington]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.

About the Role

Our technologies support some of the most important and impactful work in the world, including our strategic and high-impact customers in the public sector. As a Forward Deployed Security Engineer (FDSecE) you will be responsible for securing these novel applications of OpenAI’s technology. We’re looking for motivated, tenacious, and curious people who will work closely with engineering teams to ensure our infrastructure deployments are highly secure against our adversaries.

As an FDSecE, you will embed directly throughout the lifecycle, working on-site and being hands-on to ensure the overall security of these deployments from design to production and through ongoing operations.

This role is preferred to be based in Washington DC but may consider remote work.  We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel to and working from customer sites is required for this role.

In this role, you will:

Deeply embed with our most strategic public sector customers to implement and maintain robust security controls.

Be a design and technical thought partner by leveraging security expertise on protective controls including access controls, authentication, encryption, network, and system security.

Collaborate closely with teammates, cross-functional teams, customers, and service providers to achieve security and compliance goals.

Ensure continuity of critical security and monitoring controls through routine security assessments, threat monitoring, and security validation exercises.

You might thrive in this role if you have:

An active US security clearance.

5+ years of security engineering experience, with an emphasis on infrastructure security, application security, network security, datacenter security, and systems engineering.

Familiarity with deployment models, including to cloud platforms (Azure, AWS) and the underlying infrastructure primitives (Kubernetes, Terraform)

Proficiency in programming languages such as Python, Golang, or similar.

A proven track record of developing high-quality, scalable, and secure infrastructure.

Experience with security operations including insider threat monitoring, network/endpoint detection and response, or red team or penetration testing operations.

Comprehensive knowledge of modern adversary tactics, techniques, and procedures.

The ability to work collaboratively and effectively in a cross-functional team environment.

Thrive in dynamic environments and can navigate ambiguity with ease.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud, Azure, AWS, Kubernetes, Terraform, Python, Penetration Testing]]></skills>
    <expirationdate>2026-07-20T17:56:39.330Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Client Engineer - Core Experience (Formats & Foundations)]]></title>
    <date>2026-05-21T09:54:49.978Z</date>
    <referencenumber>cmpgign8u02jqv2xq55ytpbse</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-client-engineer-core-experience-formats-foundations-a36a38b5</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Stockholm]]></city>
    <country>ES</country>
    <description><![CDATA[We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

Formats &amp; Foundations is part of Spotify’s Core Experience Studio, focused on helping users connect more deeply with creators and their content. The team owns and evolves some of Spotify’s most highly trafficked experiences, including Artist, Album, Podcast, Episode, and Audiobook surfaces.

Beyond building user-facing experiences, the team develops foundational mobile capabilities, reusable components, and platform infrastructure that enable teams across Spotify to deliver high-quality, consistent experiences at scale. We work at the intersection of product experience and platform engineering, balancing innovation, performance, and usability across the Spotify app.

We’re looking for a Senior Client Engineer who is passionate about mobile craftsmanship, scalable architecture, and building tools and foundations that empower product teams. You’ll help shape technical direction, mentor engineers, and contribute to experiences used by millions of listeners every day.

What You’ll Do
Design, build, and evolve mobile experiences across some of Spotify’s most visible consumer surfaces.
Contribute to the architecture and development of reusable mobile foundations, frameworks, and platform capabilities.
Lead technical initiatives that improve scalability, performance, reliability, and developer experience across the Spotify app.
Collaborate closely with engineers, product managers, designers, and platform teams to shape product direction and technical strategy.
Drive engineering quality through thoughtful code reviews, testing practices, observability, and operational excellence.
Mentor engineers and contribute to a collaborative, inclusive, and growth-oriented engineering culture.
Help teams across Spotify move faster by improving tooling, workflows, documentation, and shared engineering standards.
Participate in experimentation and prototyping efforts tied to future-facing content and listening experiences.
Explore modern engineering workflows, including AI-assisted development tools and emerging mobile technologies.
Balance short-term product needs with long-term platform sustainability and technical health.

Who You Are

You have strong experience building mobile applications using Swift and Kotlin.
You have experience contributing to large-scale consumer-facing applications with high performance and reliability expectations.
You know how to design scalable, maintainable mobile systems and reusable platform components.
You care deeply about user experience, accessibility, performance, and engineering craftsmanship.
You are experienced collaborating across disciplines and influencing technical decisions in cross-functional environments.
You communicate technical ideas clearly and thoughtfully with both technical and non-technical audiences.
You enjoy mentoring and supporting engineers through collaboration, feedback, and knowledge sharing.
You are comfortable navigating ambiguity and making thoughtful technical trade-offs.
You are curious about emerging technologies and evolving development practices, including AI-assisted engineering workflows.
You bring a growth mindset and continuously look for opportunities to improve systems, products, and team practices.

Where You’ll Be
This role is based in Stockholm or London.
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Kotlin]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Kotlin]]></skills>
    <expirationdate>2026-07-20T09:54:49.978Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[VC Partnerships Lead, APAC]]></title>
    <date>2026-05-21T03:33:01.999Z</date>
    <referencenumber>cmpgih35d03jiv2xqsq9xse9v</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/vc-partnerships-lead-apac-41be86ea</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About the team

OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. This long-term undertaking brings together the world’s best scientists, engineers, and business professionals into one organization.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

OpenAI is seeking a VC Partnerships Lead to join our Startups team in Asia-Pacific. In this role, you will build and manage senior relationships with leading venture capital funds, accelerators, and startup ecosystem partners, with the goal of helping high-potential startups adopt and scale with OpenAI’s products.

Many of the most important AI-native companies will be built by startups. You will work with investors, founders, and internal OpenAI teams to identify promising companies, support their technical and commercial success, and create repeatable programs that expand OpenAI’s reach across the regional startup ecosystem.

Success in this role requires a distinctive combination of ecosystem credibility, commercial judgment, technical fluency, and operational rigor. You should be comfortable working with founders and investors, designing scalable partner programs, and traveling frequently across the Asia-Pacific region.

In this role, you will:

Manage and develop a set of partner-level relationships with top venture capital funds, startup accelerator programs, and other partners in the startup ecosystem

Be responsible for adoption and revenue growth for OpenAI’s APIs and applications (e.g. Codex), especially across early-stage companies

Work closely with Account Directors to identify and serve high-potential startups

Collaborate cross-functionally to design and execute 1:1, 1:few, and 1:many technical engagements with startup teams

Represent OpenAI at startup ecosystem events and speaking engagements

Develop insights into trends in startup ecosystems based on quantitative metrics and qualitative observations

Lead programmatic engagement of “long tail” early-stage companies

Serve as an advocate for improving the startup experience building with OpenAI, synthesizing product feedback from insights captured from our work with startups

We're seeking someone with:

Passion for the startup ecosystem and supporting the growth of fast-growing companies

Experience owning revenue and other business outcomes

Background as a founder of a venture-backed startup, a venture capital investor, or early employee at a fast-growing startup

Technical understanding of AI technologies and AI product landscape

10+ years experience managing high-value external relationships (e.g., customers, partners, investors, Board of Directors) and working directly with founders and C-level executives

Communicating technical concepts to customers and internal stakeholders

Leading high-visibility customer engagements (e.g., conferences, 1:many events, product launches, etc.)

High degree of comfort for gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence

Strong public speaking ability

Experience navigating different cultures and ecosystems, spanning everything between Japan, New Zealand, and Kazakhstan

[Strongly preferred] Professional proficiency in at least one relevant regional business language, such as Mandarin, Japanese, or Korean

You might thrive in this role if you:

Are customer- and partner-centric. You are motivated to deeply understand customer and partner priorities and help them achieve their vision. You build strong relationships with executives and professionals across functions and serve as a trusted advisor.

Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future.

Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision.

Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions.

Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of hum]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[APIs]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[APIs, Codex]]></skills>
    <expirationdate>2026-07-20T03:33:01.999Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[GTM Cyber Security Leader]]></title>
    <date>2026-05-20T21:37:45.888Z</date>
    <referencenumber>cmpgih2dz03eav2xq912awnmi</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/gtm-cyber-security-leader-b6acc8f0</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the RoleAs Head of Cyber Security GTM, you will serve as a second-line sales leader responsible for building and scaling OpenAI’s cybersecurity business.

You will define how OpenAI engages CISOs, security organizations, and technical buyers across the enterprise landscape, while leading senior sales leaders and specialist teams focused on one of the most strategic and rapidly evolving areas of AI adoption. This role will shape OpenAI’s cybersecurity go-to-market strategy, establish executive credibility in the market, and help customers understand how to securely deploy, govern, and operationalize AI across their organizations.

You will partner closely with Product, Security, Research, Partnerships, Policy, and Solutions teams to ensure OpenAI can scale durable growth in a highly technical, fast-moving, and trust-sensitive market.

In this role, you will:Build and lead OpenAI’s cybersecurity GTM organization, including specialist sales motions, executive engagement strategies, and technical customer coverage models.

Lead and develop senior leaders and frontline managers across the cyber business, raising the bar on execution, talent, and operational rigor.

Establish a high-accountability operating model with strong inspection cadences, pipeline reviews, forecasting discipline, and talent development mechanisms that scale through multiple layers of leadership.

Own the cybersecurity GTM strategy, including segmentation, account prioritization, coverage design, partner strategy, and investment allocation.

Define how OpenAI engages CISOs, security executives, and technical decision-makers, building credibility and trust in highly complex enterprise environments.

Help shape OpenAI’s cybersecurity narrative and thought leadership strategy, partnering closely with marketing, field, and executive teams to elevate OpenAI’s presence within the security community.

Drive execution on complex enterprise opportunities involving security, compliance, governance, procurement, legal, and executive stakeholders.

Bring deep pattern recognition in cybersecurity sales motions, helping teams navigate technical evaluations, implementation concerns, governance requirements, and competitive dynamics.

Partner closely with Product, Security, Research, and Solutions teams to influence roadmap priorities, packaging, and customer-facing strategy based on market feedback.

Build repeatable motions for how OpenAI supports customers securing AI adoption, managing model risk, and operationalizing AI responsibly within enterprise environments.

Develop strong partnerships with technical and ecosystem stakeholders, including strategic security partners, systems integrators, and advisory firms.

Establish clear collaboration models across pre-sales, post-sales, product, and customer success teams to ensure customers successfully move from evaluation to production deployment.

Help create scalable commercial frameworks and engagement models that align customer needs, platform adoption, and OpenAI’s long-term growth objectives.

 You might thrive in this role if you have: 15–20 years of experience leading enterprise sales or go-to-market organizations, with significant experience in senior leadership roles at scale.

Deep expertise in cybersecurity, including experience selling into or partnering closely with security organizations and executive security buyers.

Demonstrated success building and scaling complex enterprise cybersecurity businesses, ideally across cloud, platform, infrastructure, or AI-driven technology environments.

Strong credibility with CISOs and executive security leaders, with a clear point of view on how AI will impact enterprise security organizations and workflows.

Exceptional operating rigor, including business planning, forecasting, performance management, and data-driven decision-making.

Strong leadership capabilities with experience managing through multiple layers of leadership and developing senior leaders.

Experience leading highly technical and consultative enterprise sales motions involving long sales cycles and multi-stakeholder buying processes.

A low-ego, high-standards leader who can influence cross-functionally and build trust quickly with executives, customers, and internal teams.

Comfort operating in ambiguity while helping build structure, clarity, and repeatable execution in a fast-moving environment.

Skills/experience:Non-NegotiablesDeep expertise in cybersecurity sales, GTM strategy, or technical security organizations.

Proven experience leading enterprise sales or GTM teams through multiple layers of leadership.

Strong executive presence and credibility with CISOs, CIOs, security architects, and technical decision-makers.

Proven ability to build strategy and operating cadence for complex, consultative, and technically sophisticated enterprise sales motions.

Strong talent leadership with a track record of hiring, coaching, and elevating senior leaders and building high-perfo]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud]]></skills>
    <expirationdate>2026-07-19T21:37:45.888Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Developer Relations Engineer (San Francisco, CA)]]></title>
    <date>2026-05-20T20:50:24.167Z</date>
    <referencenumber>cmpgih66y03lkv2xqv7awb1ya</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/developer-relations-engineer-san-francisco-ca-ccaf39ca</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About SupabaseSupabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

About the RoleWe’re looking for a Developer Relations Engineer based in San Francisco to join our team and to help more developers discover, learn, and build with Supabase. You’ll create high-impact content, build real-world projects, and represent Supabase across communities and events. If you’re equally energized by writing code and teaching others, this is the role for you.

Why this role mattersSupabase is growing fast with 350,000+ developers, 1,000+ OSS contributors, and a thriving open source ecosystem. Our users are builders, startup founders, weekend hackers, and engineers scaling to millions of users. DevRel is how we meet them where they are: through content, community, and code.

We’re building a community of communities that brings together developers from many backgrounds, including first-time open source contributors. As a DevRel Engineer, you’ll be a bridge between Supabase and the broader developer ecosystem, helping people get started, go deep, and feel connected.

What you'll doMake content

Publish compelling technical content, especially video, to help developers learn Supabase quickly

Build demos and tutorials

Ship real-world apps using Supabase and tools like Next.js, React, and Stripe. Write guides that others can follow and remix

Represent Supabase

Speak at meetups, livestream builds, and engage with the developer ecosystem. You’ll be a visible and trusted voice of the platform

Support and grow the community

Celebrate contributors, answer questions, highlight cool projects, and bring developer feedback to the team

Collaborate across the company

Work with engineering, product, and growth to amplify launches, prioritize content, and reduce friction for new users

You might be a fit if:You’ve built full-stack apps and enjoy sharing your knowledge

You create content that makes people want to open their code editor

You’re equally comfortable writing a video script and TypeScript

You’re energized by community whether it’s on Discord, Twitter, YouTube, or in person

You’re self-directed, organized, and excited to contribute to open source

RequirementsThis role is based in San Francisco to support regular in-person devrel video shoots, attend local events, and be an active presence in the SF tech ecosystem.

Strong engineering skills, especially with JavaScript or TypeScript, Postgres, and modern frontend frameworks (React, Svelte, Vue, etc.)

Experience creating technical content (written or video)

Comfortable representing a product publicly (on camera, on stage, or online)

Bonus points if you have:A growing audience on YouTube, Twitch, or Twitter

Prior experience in DevRel or open source

Have used (and loved) Supabase

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Hiring ProcessWe keep things simple, async-friendly, and respectful of your time:

Apply – Our team will review your application.

Intro Call – A short video chat to get to know each other.

Interviews – Up to four calls with:

Team Leads

Future teammates

Someone cross-functional from product, growth, or engineering (depending on the role)

Someone from our leadership/founding team

Decision – We ma]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Vector Search, Next.js, React, Stripe, TypeScript, JavaScript]]></skills>
    <expirationdate>2026-07-19T20:50:24.167Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Technical Product Manager, GTM Systems]]></title>
    <date>2026-05-20T20:33:58.475Z</date>
    <referencenumber>cmpgih2wv03i0v2xq4go8aevk</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/technical-product-manager-gtm-systems-9fc73726</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the teamOpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals together to accomplish this.

In pursuit of this mission, our Enterprise Platform Technology team is responsible for enabling scalable go-to-market operations that help customers successfully adopt OpenAI’s products. The team partners across Sales, Marketing, Revenue Operations, Finance, Support, Data, and Engineering to design intelligent systems and workflows that support customer acquisition, lifecycle activation, and operational scale across the GTM ecosystem.

About the roleOpenAI’s top-of-funnel GTM landscape is evolving into a signal-driven, data-orchestrated acquisition engine powered by AI-native workflows, enriched customer intelligence, and increasingly interconnected GTM systems. We are looking for a Technical Product Manager to help drive the strategy, alignment, prioritization, and execution of these systems across Salesforce and adjacent GTM platforms.

This role will partner closely with GTM Systems Engineering, Revenue Operations, Sales, Marketing, Data, and Enterprise Platform teams to operationalize scalable workflows supporting lead capture, enrichment, routing, activation, prospecting, and pipeline generation. The ideal candidate combines strong technical fluency, operational systems thinking, and stakeholder leadership with the ability to drive execution across highly cross-functional environments.

In this role, you'll:Own and drive top-of-funnel GTM systems initiatives across Lead-to-Opportunity (LtO), enrichment orchestration, prospecting workflows, lifecycle activation, routing, and sales engagement operations

Partner with stakeholders and engineering teams to identify operational pain points, define scalable solutions, evaluate technical tradeoffs, and execute across Salesforce and adjacent GTM platforms

Align cross-functional stakeholders across GTM, Revenue Operations, Marketing, Finance, Security, Legal, Data, and Enterprise Platform teams while driving execution cadence, prioritization, and delivery visibility

Help operationalize AI-native GTM workflows by defining scalable automation, orchestration, agentic workflows, and human-in-the-loop processes across the customer acquisition lifecycle

You might thrive in this role if you have:Strong understanding of Lead-to-Opportunity (LtO) workflows, GTM systems, and data enrichment ecosystems supporting modern sales organizations

Experience working across Salesforce, Marketing Automation platforms, enrichment providers, Sales Engagement tooling, routing engines, and adjacent GTM systems

Familiarity with attribution flows, MQL/SQL lifecycle management, deduplication, territory assignment, lead routing, sequencing orchestration, and data normalization at scale

Proven ability to drive complex cross-functional initiatives from discovery and stakeholder alignment through execution and operationalization

Strong technical fluency across APIs, integrations, event-driven architectures, enterprise SaaS ecosystems, and Salesforce platform capabilities

Experience partnering closely with Engineering, Revenue Operations, Sales, Marketing, Finance, Security, and Enterprise Platform teams

Experience operating within SOX/SOC2-controlled environments with strong understanding of SDLC, QA, release management, and operational governance

Strong written and verbal communication skills with the ability to clearly communicate priorities, tradeoffs, risks, and execution plans

Nice to HaveAbility to independently reason through technical system design, integration dependencies, and operational tradeoffs alongside engineering teams

Familiarity with Salesforce platform architecture, automation patterns, APIs, and event-driven workflows

Experience working within AI-native, high-growth, or highly ambiguous operating environments

Exposure to global go-to-market operations, territory models, and regional business processes

Ability to operate scrappily and iteratively while maintaining a strong bias toward scalability, governance, and long-term maintainability

Compensation Range: $216K - $240K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable l]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Salesforce]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Salesforce, Flows, SQL, APIs, SDLC]]></skills>
    <expirationdate>2026-07-19T20:33:58.475Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Infrastructure, Consumer Devices]]></title>
    <date>2026-05-20T19:20:08.023Z</date>
    <referencenumber>cmpgih35403jgv2xqcdetxfuo</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-infrastructure-consumer-devices-bb4c491d</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About the Role

We are seeking a Cloud Infrastructure Engineer to help design and evolve the platforms that power OpenAI’s products.

In this role, you will be a hands-on technical leader, driving the architecture, scalability, reliability, and security of critical infrastructure systems. You will help define how we build and operate infrastructure at the next order of magnitude, while influencing technical direction across teams.

This role is both deeply technical and highly strategic, requiring strong ownership, sound judgment, and the ability to partner effectively across engineering, product, and research organizations.

 In this role, you will:Design and build scalable, reliable, and secure infrastructure platforms that power OpenAI products

Evolve cloud infrastructure abstractions that enable rapid product development across teams

Architect systems to support significant growth, performance, and operational complexity

Improve server orchestration, networking, distributed systems reliability, and infrastructure security posture

Influence technical direction and infrastructure strategy across multiple teams

Partner closely with product, research, and engineering teams to align infrastructure with evolving needs

Own operational excellence, including participation in on-call rotations, incident response, and production readiness

Mentor engineers and raise the overall technical bar of the organization

Contribute to a culture of high ownership, low ego, and thoughtful collaboration

You might thrive in this role if you:8+ years of experience building and operating large-scale infrastructure systems

Deep expertise in Kubernetes and container orchestration at scale

Strong experience designing cloud abstractions and platform infrastructure (AWS, GCP, Azure, or similar)

Proven track record of leading complex technical initiatives across teams

Experience operating highly reliable, secure, and scalable distributed systems

Security engineering experience or security background preferred

Strong systems thinking with the ability to balance velocity, reliability, and simplicity

Comfortable operating in ambiguous, fast-moving environments

Experience mentoring engineers and influencing technical direction

Passion for building infrastructure that enables impactful products

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cloud, Distributed Systems, Kubernetes, AWS, GCP, Azure]]></skills>
    <expirationdate>2026-07-19T19:20:08.023Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[People Business Partner]]></title>
    <date>2026-05-20T17:45:31.073Z</date>
    <referencenumber>cmpgih6ge03n4v2xqf2gkd995</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/people-business-partner-3542fab7</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About SupabaseSupabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

About the RoleWe’re looking for a People Business Partner to join our People Team and help support our remote GTM and Engineering organizations as the company continues to scale in size, complexity, and commercial maturity. You’ll work closely with GTM and Engineering leaders and teams, helping us bring a thoughtful people lens to how teams scale, how leaders lead, and how we maintain a high-trust, high-accountability culture in a fast-moving remote environment.

This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions.

What You’ll Be Responsible ForIn this role, you’ll:

Partner with functional and executive leadership to navigate org design, performance, and day to day people decisions.

Coach managers and leaders to improve support, consistency, and judgment across their teams.

Maintain and champion a high-trust, high-accountability culture within a globally distributed environment.

Scale people practices and programs thoughtfully without overbuilding unnecessary or heavy handed processes.

Collaborate cross functionally with Recruiting, People Ops, Legal, and Finance to ensure alignment on GTM and Engineering organization initiatives.

Manage employee relations and team health proactively to ensure the GTM and Engineering organizations remain healthy, effective, and world-class.

You Might Be a Good Fit If YouHave 5–10+ years of experience as a People Business Partner in high growth tech environments, specifically supporting distributed GTM or Engineering teams.

Are comfortable working in remote first or globally distributed environments and operating asynchronously.

Communicate clearly across both technical and non-technical audiences, with strong instincts for written communication.

Have experience in org design, performance management, and coaching senior leaders without being heavy handed.

Are energized by solving real world problems and making sound decisions in ambiguous, fast moving environments.

Are comfortable navigating and operating in remote first, open-source operating cultures, and have experience in self-serve, commercial, and enterprise motions.

 What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Hiring ProcessWe keep things simple, async-friendly, and respectful of your time:

Apply – Our team will review your application.

Intro Call – A short video chat to get to know each other.

Interviews – Up to four calls with:

Team Leads

Future teammates

Someone cross-functional from product, growth, or engineering (depending on the role)

Someone from our leadership/founding team

Decision – We may follow up with a final question or go straight to offer.

All communication is remote and we aim to move fast.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Vector Search]]></skills>
    <expirationdate>2026-07-19T17:45:31.073Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Counsel, Commercial]]></title>
    <date>2026-05-20T17:06:10.300Z</date>
    <referencenumber>cmpgih34d03jav2xqxvq02kai</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-counsel-commercial-b70cf603</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamOpenAI’s Legal team plays a crucial role in advancing our mission by tackling innovative and fundamental legal issues in AI. The team includes professionals from diverse legal fields – technology, AI, infrastructure, privacy, IP, corporate, employment, tax, regulatory, and litigation – who collaborate closely with colleagues across the company.

If you are passionate about being a technology lawyer working on cutting-edge challenges, you’ll thrive here.

About the RoleWe are seeking an experienced commercial attorney to join our commercial legal team. Based in the US, you will help lead commercial legal support for OpenAI’s rapidly growing business, working with teams such as GTM, Partnerships, Procurement, Finance, Product, Infrastructure, and Engineering.

This is a great opportunity to join OpenAI’s commercial legal team, negotiating high-impact agreements and helping to build scalable frameworks for responsible growth.

This role is based in San Francisco, CA.  We use a hybrid work model of 3 days in the office per week.

In this role, you will:Serve as the legal partner for OpenAI’s business transactions, partnerships, and operations.

Provide practical, business-oriented legal advice to teams including Sales, Partnerships, Finance, Procurement, and Operations.

Identify and address commercial, product, regulatory, privacy, and other legal issues arising from commercial transactions.

Develop strategies and processes for handling legal issues in creative and scalable ways that support growth.

Monitor and advise on regulatory and compliance matters affecting AI and technology.

Collaborate with colleagues across OpenAI’s global legal team to ensure alignment across jurisdictions.

You might thrive in this role if you:Have 10+ years of experience across in-house and technology-focused law firm roles.

Bring a strong background in drafting and negotiating complex commercial contracts.

Are comfortable operating in an entrepreneurial environment, and are proactive and independent.

Communicate with clarity and business judgment, tailoring advice to enable responsible growth.

Build cross-functional relationships and adapt communication styles to diverse audiences.

Have a strong sense of ownership, intellectual curiosity, and enthusiasm for technology.

Can demonstrate sound judgment in ambiguous or fast-changing situations.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-19T17:06:10.300Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Manager, AI Deployment Engineering - Codex]]></title>
    <date>2026-05-20T16:33:04.195Z</date>
    <referencenumber>cmpgih37g03juv2xq5rbymsm9</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/manager-ai-deployment-engineering-codex-a6c416de</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Munich]]></city>
    <country>DE</country>
    <description><![CDATA[About the teamThe AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of OpenAI technologies across developers and enterprises. We act as trusted technical partners, helping customers move from experimentation to production by designing, implementing, and scaling real-world AI applications.

The Codex Deployment Engineering team focuses on enabling organizations to adopt next-generation AI coding tools and intelligent automations throughout their software development lifecycle. We partner directly with engineering teams to integrate Codex into their workflows — from early experimentation and pilot design through enterprise-scale production rollout — ensuring AI-enhanced developer experiences are reliable, secure, and deeply embedded within customer environments.

About the roleWe are seeking an experienced technical leader to manage a team of AI Deployment Engineers responsible for driving successful Codex adoption across strategic customers. In this role, you will lead engineers who work hands-on with customer development teams to design AI-enabled workflows, deploy production-ready solutions, and establish scalable patterns for AI-powered software development.

As a manager, you will define how deployment engagements operate at scale — setting technical strategy, coaching engineers, and ensuring consistent execution across customer implementations. You will serve as both a people leader and technical advisor, partnering closely with Sales, Product, Research, and Engineering teams to translate customer needs into deployment best practices and product insights.

Success in this role will be measured by production deployments, sustained developer adoption, and the creation of repeatable deployment patterns that accelerate Codex usage across organizations.

This role is open in both our London and Munich office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:Lead, hire, and mentor a high-performing team of AI Deployment Engineers supporting Codex customers across strategic accounts.

Own the operating model and engagement strategy for Codex deployment efforts, ensuring customers successfully move from pilot to production adoption.

Guide teams in designing and implementing AI-enhanced development workflows, automations, and scalable deployment architectures.

Act as the senior technical escalation point for complex customer implementations and deployment challenges.

Partner with Sales, Product, Research, and Applied Engineering teams to align customer outcomes with product direction and roadmap priorities.

Help establish repeatable deployment playbooks, technical patterns, and best practices that enable scaled adoption of AI coding tools.

Coach engineers to operate as trusted advisors to engineering leadership and executive stakeholders.

Synthesize insights from customer deployments and translate them into actionable feedback for internal teams.

Champion safe, reliable, and effective adoption of AI-powered development workflows across industries.

You might thrive in this role if you:Have 8+ years of experience in technical customer-facing roles such as deployment engineering, solutions architecture, technical consulting, or post-sales engineering.

Have 2+ years of experience leading technical teams, including hiring, mentoring, and developing engineers.

Have experience deploying Generative AI, developer platforms, or cloud-based software solutions into production environments.

Possess hands-on technical experience with software development systems and programming languages such as Python or JavaScript.

Understand modern software development lifecycles and how AI tooling transforms developer productivity and workflows.

Are an effective communicator who can translate complex technical and business topics to both engineering teams and executive stakeholders.

Thrive in ambiguous, fast-moving environments and enjoy building new operating models and teams from first principles.

Demonstrate strong ownership, humility, and a commitment to helping both customers and teammates succeed.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional informati]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, Generative AI, Cloud, Python, JavaScript]]></skills>
    <expirationdate>2026-07-19T16:33:04.195Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Manager, AI Deployment Engineering - Codex]]></title>
    <date>2026-05-20T16:28:14.229Z</date>
    <referencenumber>cmpgih37303jsv2xqdp6v7wgf</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/manager-ai-deployment-engineering-codex-6af9ca92</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[About the teamThe AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of OpenAI technologies across developers and enterprises. We act as trusted technical partners, helping customers move from experimentation to production by designing, implementing, and scaling real-world AI applications.

The Codex Deployment Engineering team focuses on enabling organizations to adopt next-generation AI coding tools and intelligent automations throughout their software development lifecycle. We partner directly with engineering teams to integrate Codex into their workflows — from early experimentation and pilot design through enterprise-scale production rollout — ensuring AI-enhanced developer experiences are reliable, secure, and deeply embedded within customer environments.

About the roleWe are seeking an experienced technical leader to manage a team of AI Deployment Engineers responsible for driving successful Codex adoption across strategic customers. In this role, you will lead engineers who work hands-on with customer development teams to design AI-enabled workflows, deploy production-ready solutions, and establish scalable patterns for AI-powered software development.

As a manager, you will define how deployment engagements operate at scale — setting technical strategy, coaching engineers, and ensuring consistent execution across customer implementations. You will serve as both a people leader and technical advisor, partnering closely with Sales, Product, Research, and Engineering teams to translate customer needs into deployment best practices and product insights.

Success in this role will be measured by production deployments, sustained developer adoption, and the creation of repeatable deployment patterns that accelerate Codex usage across organizations.

This role is open in both our London and Munich office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:Lead, hire, and mentor a high-performing team of AI Deployment Engineers supporting Codex customers across strategic accounts.

Own the operating model and engagement strategy for Codex deployment efforts, ensuring customers successfully move from pilot to production adoption.

Guide teams in designing and implementing AI-enhanced development workflows, automations, and scalable deployment architectures.

Act as the senior technical escalation point for complex customer implementations and deployment challenges.

Partner with Sales, Product, Research, and Applied Engineering teams to align customer outcomes with product direction and roadmap priorities.

Help establish repeatable deployment playbooks, technical patterns, and best practices that enable scaled adoption of AI coding tools.

Coach engineers to operate as trusted advisors to engineering leadership and executive stakeholders.

Synthesize insights from customer deployments and translate them into actionable feedback for internal teams.

Champion safe, reliable, and effective adoption of AI-powered development workflows across industries.

You might thrive in this role if you:Have 8+ years of experience in technical customer-facing roles such as deployment engineering, solutions architecture, technical consulting, or post-sales engineering.

Have 2+ years of experience leading technical teams, including hiring, mentoring, and developing engineers.

Have experience deploying Generative AI, developer platforms, or cloud-based software solutions into production environments.

Possess hands-on technical experience with software development systems and programming languages such as Python or JavaScript.

Understand modern software development lifecycles and how AI tooling transforms developer productivity and workflows.

Are an effective communicator who can translate complex technical and business topics to both engineering teams and executive stakeholders.

Thrive in ambiguous, fast-moving environments and enjoy building new operating models and teams from first principles.

Demonstrate strong ownership, humility, and a commitment to helping both customers and teammates succeed.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional informati]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Codex, Generative AI, Cloud, Python, JavaScript]]></skills>
    <expirationdate>2026-07-19T16:28:14.229Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Head of Ads Enterprise Marketing]]></title>
    <date>2026-05-20T15:50:13.898Z</date>
    <referencenumber>cmpgih2tw03hev2xqmut6iiuy</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/head-of-ads-enterprise-marketing-81f347fe</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team
OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform.

We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels.

About the Role

We are hiring a Head of Enterprise Ads Marketing to define and scale OpenAI’s global marketing strategy for enterprise advertisers, agencies, and strategic brand partners. This leader will own how advertisers understand, evaluate, adopt, and grow with OpenAI’s advertising solutions.

This is a highly strategic and hands-on leadership role where you will shape the narratives that position OpenAI as a premium advertising platform for the world’s marketers while building the content, thought leadership, events, and demand programs that drive pipeline and long-term strategic growth.

You will partner closely with Sales, Partnerships, Product, Finance, Legal, Communications, Research, and Data Science to help establish OpenAI as a trusted leader in the future of AI-powered advertising.

This role is ideally based in San Francisco, CA, with a hybrid schedule of three days per week in the office.

In This Role, You Will:

Define the end-to-end enterprise advertiser marketing strategy across awareness, consideration, pipeline creation, adoption, expansion, and long-term growth.

Develop OpenAI’s enterprise advertising narratives, positioning, and messaging architecture across AI-powered marketing, creativity, measurement, and consumer engagement.

Build compelling brand positioning that establishes OpenAI as a trusted, differentiated platform for enterprise advertisers and agencies.

Lead category thought leadership programs and content strategy that position OpenAI as a leading voice on the future of advertising, AI, creativity, and measurement.

Create executive storytelling frameworks and high-impact communications for senior client engagements, keynote presentations, media moments, and industry conversations.

Develop strategic sales enablement programs, positioning, and materials that help commercial teams articulate differentiated value across industries, customer segments, and buying audiences.

Lead the development of flagship customer stories, case studies, and proof points that demonstrate measurable business outcomes and advertiser success.

Build integrated demand generation and account-based marketing programs targeting priority accounts and industries through owned media, partner channels, executive engagement, and industry activations.

Define industry-specific narratives and go-to-market strategies across key verticals including CPG, Retail, Automotive, Financial Services, Technology, Entertainment, Telecom, and Travel.

Own OpenAI’s presence and narrative strategy at major industry events including Cannes Lions, CES, Advertising Week, Possible, and DMEXCO.

Partner closely with Product Marketing and Product teams to translate roadmap innovations into market-ready launches, customer education, and enterprise sales motions.

Establish measurement frameworks to track brand perception, executive engagement, pipeline contribution, influenced revenue, content performance, and market momentum, while building and leading a high-performing team over time.

You Might Thrive in This Role If You:

Have 12+ years of experience in B2B marketing, enterprise marketing, ad sales marketing, product marketing, brand strategy, or strategic go-to-market leadership.

Have built or led enterprise advertising marketing programs at a scaled digital media platforms.

Deeply understand how enterprise advertisers and agencies make buying decisions, including procurement cycles, executive stakeholders, measurement requirements, and long-term partnerships.

Have significant experience developing executive narratives, thought leadership platforms, and enterprise positioning strategies that influence senior marketers and industry decision-makers.

Have experience building sophisticated content marketing ecosystems that support both brand leadership and pipeline generation.

Have led world-class tent-pole event strategies and know how to convert marquee moments into measurable brand and commercial impact.

Have built high-quality sales enablement ecosystems that help commercial teams win complex deals.

Are fluent in advertising concepts including brand building, performance media, measurement, attribution, audience strategy, creative eff]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-19T15:50:13.898Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Systems Manager - Financial Systems Functional Analysis]]></title>
    <date>2026-05-20T14:29:27.529Z</date>
    <referencenumber>cmpgignnv02msv2xq5v6x0at2</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/systems-manager-financial-systems-functional-analysis-75fa9d2b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Toronto]]></city>
    <country>ES</country>
    <description><![CDATA[The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

Want to be part of a billion-dollar business running some of the biggest SaaS installations globally? Spotify is looking for a Systems Manager to lead our Financial Systems Functional Analysis team — a talented group of Functional Analysts and quality specialists responsible for shaping, delivering, and assuring the financial solutions that underpin Spotify's global business.

You’ll join the FinE Alliance within the Platform Mission, partnering closely with Finance teams across Controllership, Tax, Treasury, FP&amp;A, Procurement, and Payroll, as well as Engineering and Operations peers across Financial Engineering. This is a highly collaborative leadership role where you’ll help scale our financial systems capability, drive operational excellence, and enable Spotify’s continued global growth through modern SaaS and engineered solutions.

What You'll Do

Lead, develop, and support a team of Functional Analysts and quality specialists, creating an environment focused on delivery excellence, growth, and collaboration.

Own the delivery lifecycle for finance-domain initiatives, from requirements gathering and solution design through testing, stakeholder sign-off, and operational handover.

Set the standard for high-quality Functional Analysis across the team, including requirements documentation, solution design, vendor engagement, stakeholder management, and operational readiness.

Partner closely with Engineering and Operations teams to ensure seamless delivery across a hybrid SaaS and custom-built ERP ecosystem.

Drive strategic initiatives supporting Procure-to-Pay, Order-to-Cash, Record-to-Report, Tax, Treasury, and related global finance processes.

Shape solution architecture decisions for complex, cross-functional financial systems initiatives with high business visibility and impact.

Foster analytical excellence and act as a trusted bridge between Finance stakeholders and technical teams.

Manage vendor relationships across the systems portfolio, including roadmap discussions, escalations, contract reviews, and vendor performance management.

Drive continuous improvement initiatives, including opportunities to leverage automation and Generative AI to improve team scalability and delivery efficiency.

Define and track team KPIs, delivery metrics, and operational performance indicators to guide prioritization and resourcing decisions.

Serve as an escalation point for complex finance systems issues, stakeholder concerns, and vendor-related challenges.

Support SOX and ITGC compliance activities, audit readiness, and change management processes across the systems your team delivers and operates.

Who You Are

You have 8+ years of experience in financial systems delivery, functional analysis, or enterprise applications within large-scale ERP environments such as NetSuite, Oracle, SAP, Workday, or similar platforms.

You have 5+ years of people management experience and a strong track record of hiring, developing, and retaining high-performing analysts across multiple seniority levels.

You are an experienced coach and mentor who genuinely enjoys helping people grow and succeed.

You have led complex finance systems initiatives end-to-end, including requirements gathering, stakeholder alignment, configuration, testing, deployment, and operational adoption.

You have deep functional knowledge across enterprise finance processes including Procure-to-Pay (PTP), Order-to-Cash (OTC), Record-to-Report (RTR), Tax, and Treasury operations.

You are experienced partnering with senior stakeholders across Finance, Procurement, Tax, Treasury, and FP&amp;A functions in global organizations.

You have experience managing SaaS vendor relationships, including roadmap planning, escalations, and contract-related discussions.

You understand SOX frameworks and IT General Controls as they relate to ERP and SaaS change management and audit readiness.

You are comfortable navigating ambiguity and translating high-level business goals into practical team priorities and delivery plans.

You communicate clearly and transparently, building trust across teams and stakeholders.

You are experienced working within Agile environments and using tools such as Jira for delivery tracking and prioritization.

You bring strong judgment, curiosity, and a continuous improvement mindset to solving complex operational problems.

You have experience working with or exploring Generative AI capabilities to improve delivery effectiveness and operational scale.

You have experience supporting both project delivery and operational systems administration responsibilities within a single team environment.

You may have an]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Functional Analysis]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Functional Analysis, Generative AI, NetSuite, Oracle, Workday, Jira]]></skills>
    <expirationdate>2026-07-19T14:29:27.529Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Engineering Manager, Distillation & Detection Platform]]></title>
    <date>2026-05-20T13:27:56.207Z</date>
    <referencenumber>cmpgih0qe0338v2xqks07978i</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/engineering-manager-distillation-detection-platform-30e49e8a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the role

We’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models—before incidents occur. This is a builder’s role: you’ll lead engineers shipping production services, detection pipelines, and mitigation mechanisms that protect frontier model integrity and reduce high-severity misuse risk.

While this work intersects with frontier model development, security and risk, we’re explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale.

In this role you will:

Lead a team of software engineers building detection + mitigation systems for frontier model misuse, with an emphasis on model IP protection / distillation detection and emerging risk surfaces from autonomous agents.

Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact.

Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage.

Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale.

Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence.

Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed.

Anticipate what breaks at scale as agentic workflows become more capable.

You might thrive in this role if you:

Experience building systems in adversarial, fast-evolving environments

Are comfortable with ambiguity and novelty

Have experience adjacent to security (e.g., abuse prevention, fraud, integrity, platform defense, auth/identity, malware/spam, adversarial environments)

Communicate clearly and build trust quickly with senior stakeholders—pragmatic, collaborative, and calm under scrutiny.

Significant experience leading engineering teams and delivering production systems end-to-end.

Strong technical judgment in system design, distributed systems, data pipelines, observability, and operational reliability.

Demonstrated ability to partner cross-functionally with Research/Product/Security to ship systems that materially reduce risk or abuse at scale.

Familiarity with model extraction / distillation, adversarial evaluation, or scalable detection/mitigation approaches.

Background in autonomy, high-scale real-time systems, or intelligence-adjacent technical domains is a plus.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help p]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Distributed Systems]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Distributed Systems]]></skills>
    <expirationdate>2026-07-19T13:27:56.207Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Formador/Instructor SAP Central Finance + Group Reporting (60h)]]></title>
    <date>2026-05-20T11:47:08.884Z</date>
    <referencenumber>cmpdzyl8q000110cu316di1za</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/formador-sap-central-finance-group-reporting-mpdzyl01</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote — Online en directo]]></city>
    <country>ES</country>
    <description><![CDATA[Buscamos un Consultor / Formador SAP senior para liderar e impartir un programa de 60 horas sobre SAP Central Finance + Group Reporting (S/4HANA) en modalidad online en directo.

DETALLES DEL EMPLEO
- Duración: 60h totales
- Modalidad: 100% Online en directo
- Nivel: Intermedio–Avanzado
- Idioma: Preferiblemente inglés, también válido en castellano
- Horario propuesto cliente: Viernes 9:00-11:00 ó 17:00-19:00 (a elegir)
- Dirigido a: Consultores FI/CO, Project Managers, Arquitectos, Controllers, responsables financieros

OBJETIVO
Capacitar al alumno para comprender, configurar e implementar soluciones de Central Finance y Group Reporting en entornos SAP S/4HANA.

BLOQUE 1 — CENTRAL FINANCE

Módulo 1: Introducción a SAP S/4HANA y Central Finance (6h)
- Evolución hacia SAP S/4HANA
- Arquitectura general de Central Finance
- Casos de uso y beneficios
- Roadmap del producto y estrategias de adopción

Módulo 2: Arquitectura técnica y flujos de datos (8h)
- Arquitectura técnica de SAP Central Finance
- Integración con sistemas fuente SAP y no-SAP
- Reglas de mapeo y procesamiento de datos
- Escenarios con SLT, AIF, MDG

Módulo 3: Procesos financieros corporativos en CFin (12h)
- Central Payments
- Credit Management
- Dispute & Collection Management
- SAP Shared Services Framework
- SAP BPC Integrated Planning y Reporting
- Actividades de conciliación intercompany

BLOQUE 2 — GROUP REPORTING / ICMR

Módulo 4: Consolidación con Group Reporting (20h)
- Consolidation master data (version, consolidation unit/group/method, fs item, breakdown category, gl-fs mapping)
- Release of universal journals task, flexi
- Net Income calculation
- Reported financial data validation
- Currency translation task
- Standardized data validation
- Reclassifications posting levels 00, 01, 10
- Interunit eliminations (IC Revenue/COGS, IC AR-AP, otros IC balance sheet)
- Consolidation of investment

ICMR (parte del Módulo 4)
- Data sources for subsequent matching
- Matching methods, recon close, filters & assignments, email alerts
- Workflows
- Automatic doc posting and variance
- Eliminations on GR

Módulo 5: Proyectos Central Finance (6h)
- Setup de proyectos CFin
- Gestión del cambio organizacional
- Metodología Activate
- Planificación y ejecución de fases del proyecto
- Transición a landscape consolidado

Módulo 6: Evaluación final y taller práctico (8h)
- Caso práctico transversal
- Simulación E2E desde origen hasta consolidación
- Validación de conocimientos adquiridos

METODOLOGÍA
- Clases en directo con instructor SAP
- Acceso a documentación oficial
- Demostraciones en sistema SAP real
- Talleres y resolución de casos
- Tests y ejercicios por módulo
- Grabación de sesiones para repaso

PERFIL DEL CANDIDATO
- Consultor SAP S/4HANA senior con experiencia demostrada en Central Finance + Group Reporting
- Experiencia previa como formador/instructor (referencias o demo)
- Capacidad de impartir en inglés (preferido) y/o castellano
- Disponibilidad para sesiones viernes a elegir 9-11 ó 17-19]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>contract</jobtype>
    <category><![CDATA[S/4HANA]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[S/4HANA, SAP S/4HANA, Flows, SAP BPC]]></skills>
    <expirationdate>2026-07-19T11:47:08.884Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Business Development Representative]]></title>
    <date>2026-05-20T11:46:20.007Z</date>
    <referencenumber>cmpgih2kh03fkv2xqhrejota2</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/business-development-representative-80c94e95</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Tokyo]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business, from ChatGPT Enterprise to our developer and APIs. 

We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and develop-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments.

About the Role

We are looking for a senior, high-agency business development representative to help build and scale our Japan Strategic &amp; Large Enterprise, DNB and Startup motion. This person should be able to create pipeline through thoughtful outbound, strong discovery, disciplined follow-up, and clear stakeholder mapping. This is not a junior execution role. It is a front-line role for someone who can help shape the motion while working closely with ADs, technical teams, and HQ.

At the same time, this role is designed as a launchpad for future sellers at OpenAI. It’s a highly strategic position with meaningful exposure to enterprise sales, product, and customer strategy. You’ll build core skills in discovery, stakeholder mapping, deal shaping, and executive communication, while developing a deep understanding of how leading companies adopt AI.

Recommended Seniority

7-10 years of total work experience

3-5+ years of relevant experience in SDR, BDR, inside sales, startup sales, enterprise/commercial AD, or similar GTM roles

Some closing or full-cycle sales experience is strongly preferred

We’re looking for individuals with 7–6+ years of total work experience who are motivated to grow into world-class enterprise sellers over time. Many people in this role go on to become Account Directors or take on broader GTM roles, but progression is based on performance and business needs rather than a fixed timeline.

In this role, you’ll identify, shape, and advance complex enterprise opportunities by turning product usage, pilots, and inbound demand into qualified, high-conviction opportunities for our Enterprise and Strategic Accounts teams.

For the right person, this is one of the most accelerated paths to break into sales at OpenAI and build a long-term career in AI go-to-market.

In this role, you will:

Run high-quality outbound motions tailored to Japan Strategic &amp; Large Enterprise, DNB and Startup accounts

Turn product usage, inbound interest, pilot activity, and outbound efforts into qualified pipeline

Partner with Account Directors on account strategy, multi-threading, and deal progression

Lead high-quality discovery to uncover business priorities, map stakeholders, and assess enterprise readiness

Contribute to pipeline reviews by sharing outbound activity, account insights, and early competitive signals

Build and iterate on AI-enabled GTM workflows (GPTs/Agents) to scale prospecting and qualification

Provide local market feedback to HQ and help improve playbooks for Japan

Must-Have Qualifications

Native or near-native Japanese, with strong business communication skills

Business-level English, with the ability to work effectively with HQ and cross-functional teams

Strong track record in B2B SaaS, technology sales development, startup sales, or similar roles

Proven ability to generate pipeline through outbound prospecting and inbound qualification

Strong discovery skills, follow-up discipline, and stakeholder mapping ability

Comfortable speaking with technical buyers such as Product, Engineering, IT, Data, or Security stakeholders

High ownership, strong judgment, and comfort operating in an ambiguous and fast-moving environment

Preferred Qualifications

7-10 years of total work experience

3-5+ years of relevant experience in SDR, BDR, inside sales, startup sales, enterprise/commercial AD, or similar GTM roles

Some closing or full-cycle sales experience is strongly preferred

Can build trust quickly with Japanese customers

Experience in startup or high-growth environments selling into regulated or complex industries (Financial Services, Life Sciences, Retail)

Some closing or full-cycle sales experience and a track record of consistently hitting and exceeding ambitious targets

Experience selling API, developer tools, cloud, data, security, or other technical products

Strong hands-on experience using AI, with a deep interest in the landscape and the ability to translate OpenAI products into clear, tangible business value for customers

You’re comfortable with ambiguity, moving quickly, and operating well with a high degree of ownership

Can act as a strong bridge between Japan market needs and HQ

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, APIs, Cloud]]></skills>
    <expirationdate>2026-07-19T11:46:20.007Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Consultant SAP PI/PO]]></title>
    <date>2026-05-20T11:43:17.847Z</date>
    <referencenumber>cmpdztmvf000123irmegklgcr</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-consultant-sap-pi-po-remote-worldwide-mpdztmqe</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote — Worldwide]]></city>
    <country>ES</country>
    <description><![CDATA[En partnership con una consultora global, buscamos un Senior Consultant SAP PI/PO. Te incorporarás a la unidad de SAP Consulting en un proyecto de Integraciones.

En esta unidad, ayudamos a las organizaciones en su transformación hacia una smart company, conectando procesos, departamentos y funciones a través de soluciones integrales de gestión empresarial. Optimizamos procesos internos y operaciones, y facilitamos la toma de decisiones mediante herramientas avanzadas de explotación de datos.

**¿QUÉ HARÁS EN EL DÍA A DÍA?**

Realizarás el análisis, diseño, implementación y mantenimiento de sistemas SAP para diversos clientes. Monitorizarás procesos de negocio y los traducirás en soluciones técnicas que optimicen las operaciones de la empresa mediante la configuración y personalización de los módulos SAP.

Entre tus funciones:
- Analizar requisitos de negocio y traducirlos a especificaciones técnicas.
- Diseñar soluciones SAP personalizadas alineadas con los objetivos del negocio.
- Colaborar en el desarrollo de proyectos de integración basados en SAP PO y SAP Integration Suite.
- Realizar pruebas unitarias y de integración para garantizar la calidad de las configuraciones.
- Dar soporte técnico y funcional a usuarios finales.
- Identificar y resolver problemas técnicos y de proceso en módulos SAP.
- Formar a usuarios en el uso de los módulos SAP y nuevas funcionalidades.

**¿QUÉ ESPERAMOS DE TI?**

- Titulación universitaria en Ingeniería de Sistemas, Informática, ADE o campos relacionados.
- Inglés y español avanzados.
- 5+ años de experiencia en consultoría SAP, en equipos de integración.

**Habilidades técnicas y funcionales:**
- Dominio de SAP PI/PO.
- Conocimientos de ABAP y Fiori son un plus.
- Orientación a cliente y resultados.
- Pensamiento analítico y capacidad de trabajar con grandes volúmenes de datos.
- Adaptabilidad y capacidad de trabajo en un entorno dinámico.

**Ubicación:** 100% Remoto worldwide.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[SAP PI]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[SAP PI, SAP PO, ABAP]]></skills>
    <expirationdate>2026-07-19T11:43:17.847Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Assistant Manager, Music Marketing - South Korea (Contractor)]]></title>
    <date>2026-05-20T07:52:20.431Z</date>
    <referencenumber>cmpgigmbm02csv2xq11h3gz9p</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/assistant-manager-music-marketing-south-korea-contractor-0e9ca345</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Seoul]]></city>
    <country>ES</country>
    <description><![CDATA[Spotify is seeking an Assistant Manager, Music Marketing in South Korea to lead impactful music marketing campaigns across Korea’s dynamic music landscape. As part of the Korea Music Marketing team, you will define marketing strategies and deliver outstanding campaigns that connect artists and fans through music, culture, live experiences, and storytelling. You will execute music release campaigns end-to-end, contributing to audience engagement, brand affinity, cultural relevance, and subscriber growth in Korea. Most importantly, you have fun at work and a desire to make a positive impact for music fans and audio listeners globally.

This is a 8-month contract role reporting directly to the Head of Kpop Marketing. 

What You'll Do

Lead music marketing campaigns from inception to completion, including adaptation of global and regional music campaigns tailored to Korean market needs
Work closely with Korea Music Team and Social &amp; Content Marketing Team to identify opportunities that drive cultural impact and business growth for Spotify in Korea
Develop and execute integrated marketing campaigns spanning on-platform, social, digital, partnerships, and experiential activations
Support and execute live performance, fan engagement, and event-based marketing initiatives including showcases, listening sessions, festivals, and artist appearances
Oversee the curation and distribution of music content across diverse publishing and social channels in collaboration with internal and external stakeholders
Collaborate cross-functionally with regional teams to ensure campaign alignment and seamless execution
Stay informed on emerging trends across music, entertainment, and consumer culture in Korea to proactively identify opportunities for innovation and differentiation in Spotify’s marketing strategy

Who You Are

You have at least 5+ years of experience with a proven track record of building impactful, creative, and culturally resonant campaigns in music, entertainment, media, consumer brands, or related industries
Strong understanding of Korea’s music and entertainment landscape
Experience leading integrated marketing campaigns across digital, social, partnerships, ATL/BTL, and experiential touchpoints
Hands-on experience planning and executing live performances, fan activations, showcases, festivals, or event-based marketing campaigns
Experience working with artists, labels, agencies, promoters, or entertainment partners is highly preferred
A creative problem solver who can manage multiple projects simultaneously from strategy through execution
Strong communication and stakeholder management skills with experience collaborating across local, regional, and global teams
Passionate about music, culture, and fandom communities, with strong instincts for culturally relevant storytelling and audience engagement
Comfortable working in a fast-paced, highly collaborative, and constantly evolving environment

Where You'll Be

This role is based in Seoul, Korea
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-19T07:52:20.431Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Strategic Sourcing Manager,  Compute]]></title>
    <date>2026-05-19T23:40:46.713Z</date>
    <referencenumber>cmpgigzn902usv2xqeq7wkzsz</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/strategic-sourcing-manager-compute-75124373</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI compute infrastructure ecosystem. The InfraDev team is central to this mission, setting the strategy and executing the roadmap to scale our supercomputing footprint globally. From site planning to system integration, this team operates at the intersection of commercial, technical, and operational excellence, partnering with leaders across OpenAI and the industry.

About the Role

We are seeking a Strategic Sourcing Manager who is ready to take on global-scale challenges in AI compute supply and manufacturing — an opportunity to shape the future of supercomputing.

As part of the Infrastructure Strategy &amp; Delivery organization supporting Stargate, OpenAI’s next-generation supercomputing platform, you will lead sourcing and strategic supplier engagements for compute infrastructure at hyperscale. This role will drive commercial strategy and supplier accountability across server platforms, accelerators, rack systems, and associated thermal &amp; power delivery components.

This is not traditional procurement — it is foundational work enabling OpenAI to deploy compute faster and more efficiently than anyone in the world, while building deeply-integrated partnerships with the global compute supply chain.

Key Responsibilities

Develop and execute sourcing strategies for the next generation of AI compute infrastructure in partnership with engineering and program leadership.

Stay at the leading edge of industry and supply-chain trends to inform category strategy and long-range planning.

Initiate, negotiate, and manage commercial agreements across OEM/ODM/JDMs for accelerators, GPUs/CPUs, server platforms, rack systems, liquid-cooling components, PSUs, and supporting mechanical/electrical subsystems.

Secure capacity and optionality across a rapidly scaling compute supply chain while mitigating risk and ensuring manufacturing readiness.

Partner cross-functionally with engineering, program delivery, legal, operations, and finance to ensure sourcing strategies align with technical and program objectives.

Drive competitive sourcing events, commercial structuring, and vendor accountability across the compute bill of materials.

Provide technical and commercial evaluation guidance during supplier selection and product qualification cycles.

Deliver portfolio-level visibility to executive stakeholders on progress, risks, and decision points with clarity and precision.

Qualifications

10+ years of strategic sourcing and vendor management experience, with deep expertise in compute systems and hardware supply chains.

Demonstrated leadership sourcing for high-performance compute, accelerators, and data-center server platforms — ideally including OEM/JDM/ODM engagement.

Technical fluency in compute architecture, including GPUs, CPUs, server platforms, rack systems, cold-plate &amp; liquid-cooling design, and associated power delivery subsystems.

Proven success negotiating complex capital procurement agreements and supplier capacity programs at hyperscale.

Ability to influence cross-functional technical and executive teams and drive alignment in fast-moving, high-stakes environments.

Strong analytical decision-making and commercial structuring skills, balancing speed, cost, technical requirements, and strategic risk.

Experience with global manufacturing, supply chain readiness, long-lead materials, and ramp-to-volume for high-complexity hardware.

Familiarity with hyperscale data-center operational requirements, testing/qualification cycles, and integration workflows.

Procurement, supply chain, program management, or data-center hardware certifications are advantageous.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Cha]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[GPUs]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[GPUs]]></skills>
    <expirationdate>2026-07-18T23:40:46.713Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[3D Printing Lab Technician, Robotics]]></title>
    <date>2026-05-19T21:32:37.364Z</date>
    <referencenumber>cmpgih36003jmv2xqx0w596jr</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/3d-printing-lab-technician-robotics-b6ddece2</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives.
About the Role

As the Robotics 3D Printing Lab Technician, you will own the day-to-day operation of our additive manufacturing lab and help enable rapid hardware iteration across the robotics organization. You’ll manage and maintain a fleet of 3D printers, develop workflows for engineers to submit and track builds, and ensure high-quality prototype parts are delivered quickly and reliably.

You will partner closely with mechanical, electrical, and prototype engineering teams to support fast-paced robotics development. Beyond additive manufacturing, you will also contribute as a hands-on prototype technician supporting builds, rework, subsystem integration, and general lab operations across robotic systems.

This role is based in San Francisco, CA, and requires in-person presence 5 days a week.
In this role, you will:

Lead operation, maintenance, and calibration of a fleet of 3D printers supporting robotics prototyping efforts

Develop and maintain workflows for print submission, prioritization, tracking, and delivery across engineering teams

Prepare, process, and optimize print jobs across a variety of additive manufacturing technologies and materials

Perform post-processing operations including support removal, finishing, bonding, machining, dyeing, and assembly preparation

Inspect completed parts for dimensional accuracy, cosmetic quality, and print integrity before delivery to engineers

Partner with engineering teams to provide guidance on material selection, print orientation, tolerancing, and manufacturability

Manage inventory of printing materials, consumables, spare parts, and maintenance supplies to ensure high printer uptime

Support rapid prototyping workflows by assisting with mechanical builds, subsystem integration, and general prototype technician work

Troubleshoot machine, process, and print quality issues across additive manufacturing workflows

Help maintain a clean, organized, safe, and highly functional prototyping environment

You might thrive in this role if you:

Have deep hands-on experience with additive manufacturing systems and enjoy building reliable workflows around physical hardware

Are highly organized and comfortable managing many concurrent prototype requests in fast-paced environments

Understand tradeoffs between different printing technologies, materials, tolerances, and post-processing methods

Enjoy hands-on technical work and are comfortable supporting a broad range of prototype and build activities

Maintain a high bar for craftsmanship, lab discipline, and part quality

Preferred qualifications:

4+ years of experience operating additive manufacturing systems in prototyping, robotics, product development, or manufacturing environments

Experience with a variety of 3D printing technologies such as FDM, SLA, SLS, MJF, or PolyJet

Familiarity with additive manufacturing materials, post-processing methods, and prototype finishing techniques

Experience supporting hardware engineering teams in fast-paced development environments

Familiarity with general electromechanical assembly, prototype builds, or robotics hardware systems

Compensation Range: $266K - $380K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-18T21:32:37.364Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Enterprise AI Platform]]></title>
    <date>2026-05-19T21:24:40.484Z</date>
    <referencenumber>cmpgih39003k4v2xq6lsjj237</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-enterprise-ai-platform-86a096c1</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team
Business Systems / Enterprise Platform Technology builds the internal systems, data foundations, workflow infrastructure, and enterprise platforms that help OpenAI operate at scale. The EPT AI Pod builds AI-native internal apps, MCP connectors, multi-agent workflows, and reusable platform capabilities across Finance, People, and GTM.

About the Role
As an Enterprise Applied AI Engineer, you will build internal apps for enterprise operations and the shared platform components those apps run on. This includes MCP connectors, multi-agent orchestration, data architecture, evals, monitoring, auditability, and governance.

We’re looking for a hands-on engineer who is strong in Python, system design, enterprise integrations, data architecture, and applied AI systems. You should be excited to turn ambiguous business workflows into reliable internal products and shared infrastructure.

In this role, you will:

• Build internal apps for enterprise operations across Finance, People, and GTM

• Build MCP connectors and enterprise integrations with strong auth, permissions, idempotency, retries, and rate-limit handling

• Design end-to-end multi-agent workflows with tool routing, human approvals, audit trails, and safe action boundaries

• Design data architecture for operational AI systems, including ingestion, schemas, quality checks, lineage, and governance

• Build evals, monitoring, metrics, and regression tests for agentic workflows

• Create reusable infrastructure, patterns, and components that other enterprise teams can build on

• Partner with system owners and business owners to turn messy enterprise workflows into reliable internal products

You might thrive in this role if you:

• Have strong Python engineering skills for backend services, MCP connectors, agent/tool workflows, eval harnesses, and data ingestion jobs

• Have strong system design skills across shared infrastructure, app architecture, reliability, and scaling

• Have experience building internal apps, backend services, APIs, workflow systems, or integration platforms

• Understand enterprise systems, including controls, approvals, auditability, compliance, and permissions

• Have practical AI systems experience with RAG, evals, monitoring, MCP/tool use, structured outputs, or multi-agent workflows

• Have strong data architecture fundamentals, including ingestion, modeling, quality, lineage, and governance

• Communicate clearly with technical stakeholders, system owners, and business owners

• Take high ownership in ambiguous, cross-functional environments

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people so]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Python]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Python, APIs, RAG]]></skills>
    <expirationdate>2026-07-18T21:24:40.484Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Deployment Engineering Manager, Startups]]></title>
    <date>2026-05-19T20:05:22.881Z</date>
    <referencenumber>cmpgih34v03jev2xqhheugcak</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-deployment-engineering-manager-startups-35f25d71</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe AI Deployment Engineering team partners closely with customers to help them move from experimentation to production with OpenAI’s technologies. We act as trusted technical advisors, working across customer strategy, architecture, deployment, and adoption to help organizations realize meaningful impact from frontier AI.

The Startups segment serves fast-moving, high-growth companies that are often building new products, workflows, and businesses directly on top of AI. These customers move quickly, operate with high ambiguity, and expect practical, creative, and technically rigorous partnership.

About the RoleWe are looking for an AI Deployment Engineering Manager, Startups to lead and scale the Startups AI Deployment Engineering motion. This team helps high-growth startups move quickly from experimentation to production, unlock meaningful usage, and build durable technical partnerships with OpenAI.

This leader will operate in a high-velocity customer segment where founders, CTOs, and technical teams expect speed, judgment, and hands-on problem-solving. They will balance team leadership, technical depth, customer prioritization, and cross-functional influence across Sales, Product, Engineering, Research, and broader go-to-market teams.

In this role, you will define how OpenAI supports startup customers at scale: identifying where deep technical engagement can unlock outsized impact, building repeatable deployment mechanisms, and ensuring the team can serve a broad and dynamic customer base without losing quality or strategic focus.

In This Role, You WillCraft and continuously refine the strategic vision and operating model for the Startups AI Deployment Engineering team, aligning it with OpenAI’s broader company objectives and the evolving needs of high-growth startup customers.

Lead, mentor, and grow a team of high-performing technical ICs supporting startup customers across AI-native, developer-led, and product-led companies.

Help startups move from early experimentation to production usage by identifying technical blockers, advising on architecture, and driving practical paths to deployment.

Partner closely with Sales to determine where technical engagement can accelerate adoption, production usage, and long-term account growth.

Represent the technical voice of startup customers by synthesizing high-signal feedback, especially around developer experience, product gaps, deployment blockers, model performance, and emerging use cases.

Translate recurring startup needs into repeatable playbooks, starter packs, reference architectures, internal tooling, and customer-facing assets that help the broader team move faster.

Serve as a senior technical escalation point for priority startup customers, including founder-, CTO-, and technical executive-level conversations.

Balance urgent customer needs with OpenAI’s broader product and platform priorities, especially when startups request niche features, bespoke support, or accelerated roadmap changes.

Coach AI Deployment Engineers on technical quality, customer judgment, prioritization, executive communication, and cross-functional partnership.

Partner across Sales, Product, Engineering, Research, and other GTM teams to improve how OpenAI supports startups from early adoption through scaled production usage.

You Might Thrive in This Role If YouHave proven experience founding, scaling, or operating within early-stage startups, ideally in technical leadership roles where you owned both product or customer outcomes and technical execution.

Have a strong track record of building and leading technical, customer-facing teams in high-growth, ambiguous, or startup-heavy environments.

Bring strong technical depth across APIs, platform products, AI/ML systems, developer workflows, and production deployment considerations.

Have experience creating scalable operating models, not just managing one-off customer escalations.

Are comfortable working directly with founders, CTOs, technical executives, and highly technical ICs.

Demonstrate strong judgment about when to go deep for a strategic customer versus when to build repeatable mechanisms for the broader segment.

Can translate complex technical and product considerations into clear decisions, practical guidance, and customer-facing recommendations.

Operate with speed, iteration, and pragmatic customer impact without sacrificing quality, safety, or OpenAI’s long-term platform strategy.

Are personally committed to fostering the safe and beneficial development of AI.

Success in This Role May Look LikeIncreased startup account usage, including tokens, requests, and production workloads.

A strong cadence of successful customer sprints and production-oriented technical engagements.

High-quality customer stories, founder and CTO satisfaction, and referenceable startup wins.

Creation of repeatable startup deployment patterns, starter packs, templates, and reference architectures.

Strong Product ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[APIs]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[APIs, ML Systems]]></skills>
    <expirationdate>2026-07-18T20:05:22.881Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Recruiting Optimization Manager]]></title>
    <date>2026-05-19T19:44:33.904Z</date>
    <referencenumber>cmpgih38g03k0v2xqhvu0ulvn</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/recruiting-optimization-manager-7f43f500</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team
OpenAI’s People team is committed to hiring, engaging, and supporting world-class talent to help safely build and deploy universally beneficial Artificial General Intelligence (AGI).

The Recruiting Optimizations Manager is responsible for building and strengthening the systems, workflows, and operational infrastructure that make hiring at OpenAI fast, rigorous, and scalable. This role partners across recruiting, systems, and people teams to ensure recruiting foundations are efficient, reliable, auditable, and built to scale as OpenAI continues to grow rapidly and globally.

This role leads Recruiting Operations optimization efforts across workflow design, operational automation, systems enablement, and scalable service operations.

 About the Role
This role is focused on the systems and operational backbone of recruiting. The Recruiting Operations Manager will lead work across recruiting systems, workflow design, automation, process optimization, and data integrity to improve how hiring runs at scale.

This role will translate business needs into durable operational solutions, drive improvements across the recruiting technology stack, and identify opportunities to reduce manual work through better tooling, automation, and process design. The right person will combine strong people management with systems thinking, operational rigor, and a practical approach to scaling high-quality recruiting infrastructure.

This role is based in San Francisco, CA. We are not considering remote candidates at this time.

In this role, you will:

Lead and develop a high-performing Recruiting Operations team, setting clear expectations, building strong judgment, and supporting career growth.

Own and improve the operational systems and workflows that underpin recruiting, with a focus on scalability, reliability, and efficiency.

Design, implement, and continuously optimize automations across recruiting workflows, approvals, data quality checks, reporting processes, and systems handoffs.

Identify manual, repetitive, or error-prone work and convert it into streamlined, governed, and scalable processes.

Partner with Recruiting, People Systems, and cross-functional stakeholders to prioritize and deliver tooling improvements, workflow redesigns, and operational enhancements.

Support the evolution of the recruiting technology stack by defining requirements, evaluating solutions, improving integrations, and driving adoption of new processes and tools.

Use data to monitor process health, identify bottlenecks, and drive continuous improvement across operational performance and system effectiveness.

Raise the bar on data accuracy, systems hygiene, documentation, and process discipline across recruiting operations.

Act as an escalation point for complex operational issues, using structured problem-solving and sound judgment to resolve root causes.

Contribute to an AI-enabled roadmap for recruiting operations, with a focus on practical automation, usability, governance, and measurable impact.

You might thrive in this role if:

You care deeply about building reliable systems and operational foundations that scale.

You naturally look for ways to simplify, automate, and optimize workflows rather than maintain manual workarounds.

You are comfortable operating in ambiguity and can bring structure to evolving processes and systems.

You know how to lead a team through both day-to-day execution and longer-term systems improvement.

You bring strong judgment and know when to escalate risks, challenge unclear requirements, or tighten a process that is not holding up.

You balance speed with rigor and understand that operational quality is a trust function.

You can zoom out to design scalable workflows and zoom in to debug process failures, systems gaps, or data issues.

You are credible with stakeholders and able to build strong working relationships across recruiting, systems, analytics, finance, legal, and IT.

What We’re Looking For:

8+ years of experience in recruiting operations, talent operations, people systems, or similar operational environments, with prior people management experience.

Experience leading teams in fast-paced, high-growth environments with a strong focus on systems, process improvement, and operational execution.

Strong operational design and process optimization skills, with experience scaling recruiting workflows and infrastructure.

Demonstrated experience building or driving workflow automations, tooling enhancements, systems improvements, or operational redesigns in recruiting or related environments.

Comfort working across ATS, workflow, integration, and support tooling; experience with platforms such as Ashby, Workday, Guide, or similar systems is a plus.

Experience using metrics, service levels, and operational reviews to manage performance and uncover opportunities for optimization and automation.

Strong cross-functional partnership skills, especially with Recruiting, People System]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Workday]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Workday]]></skills>
    <expirationdate>2026-07-18T19:44:33.904Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[User Researcher]]></title>
    <date>2026-05-19T17:32:14.415Z</date>
    <referencenumber>cmpgihjh603qqv2xqzgqo0gbl</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/user-researcher-e6e73f88</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the roleWe’re looking for a User Researcher to join our growing research function. This person will help us better understand our users, uncover opportunities across the product, and partner closely with product, design, engineering, and data to guide Cursor’s roadmap.

What you'll doLead high-impact research: Design and run studies that help us understand what users want, need, and love across different segments, workflows, and levels of expertise. Use methods like interviews, usability testing, surveys, and lightweight experiments to uncover pain points, motivations, and opportunities.

Accelerate product learning: Help teams quickly test hypotheses, evaluate ideas, and gather feedback on features and experiences. Choose the right level of rigor for the question, from scrappy directional research to deeper strategic work.

Connect insights to product decisions: Combine qualitative research with analytics, surveys, experiments, and data science partnerships to build a holistic view of our users. Translate findings into clear, actionable insights that shape product direction, strategy, and prioritization.

Help scale research at Cursor: Contribute to the systems, processes, templates, and rituals that make research easier to run and more impactful across the company. Advocate for user needs and ensure they are represented in product decisions.

What We're Looking ForExperience: 5–8+ years in user research in fast-moving, technical product environments.

Strong research craft: Deep command of qualitative and quantitative research methods.

Product intuition: Ability to connect user insights to product decisions, tradeoffs, and strategy.

Scrappy operator: Comfortable working in ambiguity, moving quickly, and adapting research methods to different levels of urgency, constraint, and rigor — finding creative ways to get useful signal quickly without over- or under-investing.

Clear communicator: Exceptional ability to synthesize research into concise, compelling, and actionable insights.

Collaborative partner: Excited to work closely with product, design, engineering, and data teams to shape what we build.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cursor]]></skills>
    <expirationdate>2026-07-18T17:32:14.415Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Group Product Manager - Messaging]]></title>
    <date>2026-05-19T16:36:29.003Z</date>
    <referencenumber>cmpgigmu302gkv2xqgqy12ehm</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/group-product-manager-messaging-fd5c6e9e</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[Messaging is a business-critical system at Spotify. It sits between many message senders and a shared pool of users across several channels (e.g. in-app, push, email, and emerging channels), delivering more than 70 billion impressions per year.

The Messaging team operates within the Freemium Funnel Area, where product, engineering, design, insights, and marketing collaborate to shape how users engage with Spotify across monetization experiences. We are responsible for audience reach, messaging governance, campaign delivery, and the platforms that enable Spotify teams to communicate with users at scale — reliably, responsibly, and effectively.

We have ambitious plans to evolve Messaging from a delivery layer into an intelligent, governed platform that reasons about what to send, to whom, and when — balancing user experience with business outcomes. We are looking for a Group Product Manager to help lead this transformation.

What You'll Do 

Set the vision, strategy, and roadmap for Messaging capabilities spanning audience reach, governance, campaign automation, and emerging engagement surfaces
Lead and support a group of Product Managers building scalable platform solutions that evolve Messaging from operator-configured execution into intelligent, value-informed decisioning
Drive the governance layer for Spotify’s messaging ecosystem by defining how competing business objectives — including conversion, engagement, retention, and upsell — are balanced across channels and user segments
Lead the development of message classification systems, cross-domain signal integration, and attribution frameworks that enable continuous learning and optimization
Build and protect audience reach through push notification recovery, opt-in optimization, and expansion into new off-platform channels such as WhatsApp
Establish observability, monitoring, and alerting capabilities that make messaging performance visible to operators, stakeholders, and leadership
Partner closely with engineering, design, and insights teams to deliver high-impact platform capabilities with speed and quality
Collaborate with Growth, R&amp;D, Content, and Marketing stakeholders to align priorities, governance principles, escalation paths, and messaging best practices
Champion platform thinking across teams by promoting reusable capabilities, enforcing standards, and reducing structural limitations tied to manual configuration
Inspire teams with a clear product vision while staying close enough to execution to remove blockers and drive meaningful outcomes

 

Who You Are

You have experience building or leading messaging products at consumer scale, ideally in environments where multiple business teams compete for shared user attention
You have led product strategy end-to-end, from defining vision through execution and measurable business impact
You are experienced navigating ambiguity and connecting governance, infrastructure, and user experience initiatives into a clear strategic direction
You know how to use experimentation, user research, attribution modeling, and market insights to inform product decisions
You have experience building platform products that support both internal operators and external user experiences
You understand the balance between business optimization and protecting user experience, and can design systems that support both
You collaborate effectively across product, engineering, design, insights, legal, and executive stakeholders
You communicate clearly and can adapt your storytelling to audiences ranging from engineers to senior leadership
You support and grow high-performing Product Managers by creating clarity, momentum, and accountability
You are comfortable diving into details when needed to unblock teams and accelerate execution
You bring a thoughtful perspective on how AI can improve workflows, product thinking, and decision-making responsibly
You care deeply about building durable, long-term value over short-term optimization

Where You'll Be

This role is based in London, UK or Stockholm, Sweden
We offer you the flexibility to work where you work best! There will be opportunities for in-person collaboration, while still allowing flexibility to work from home
This team operates within the EST and GMT time zones for collaboration]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Operators]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Operators]]></skills>
    <expirationdate>2026-07-18T16:36:29.003Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Analytics Engineer, SMB]]></title>
    <date>2026-05-19T15:54:13.911Z</date>
    <referencenumber>cmpgigzix02tiv2xq8y3vwsjo</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/analytics-engineer-b23ca24f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Role

As an early member of our Data team within the Go-To-Market (GTM) organization, you will play a pivotal role in building a data-centric culture, enhancing decision-making processes, and driving strategic initiatives through analytics. This role involves a variety of projects aimed at developing canonical data sources and dashboards that enable the business to derive trustworthy, actionable insights. Most importantly, you should expect to be a core member of the GTM team, helping to bring our technology to a wide range of customers and supporting our self-serve and sales-led motions.

This role is based in either San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Embed with the GTM team as a trusted partner, identifying high-impact analytics problems and pioneering data-driven solutions.

Establish a data-driven culture by driving the definition, tracking, and operationalizing of metrics

Manage cross-functional data projects about revenue, pricing, usage, and other topics core to the business.

Create scalable pipelines for data collection, cleaning, and analysis from multiple sources, and manage the lifecycle of metrics and models from prototyping to production.

Develop and refine tools such as dashboards and reports that empower the team to extract and analyze data independently.

Conduct analyses to uncover insights and inform key decisions.

Use presentations, memos, and tools to communicate complex data insights clearly and persuasively across the organization.

You might thrive in this role if you are/have:

Over 10 years of experience in a relevant Data role within dynamic, outcome-driven organizations.

Demonstrated ability to independently own ambiguous, high-impact business problems, from structuring the analytical approach to driving clear recommendations and execution.

Highly autonomous and resourceful, with a track record of navigating data, stakeholder, and operational blockers.

Highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows.

Proficient in quantitative programming languages, Python preferred.

Experienced in using business intelligence tools, such as Tableau and Looker, to communicate insights and enable self-serve.

Familiar with advanced custom visualizations, such as Streamlit and Plotly Dash.

Adept at crafting clear data stories using decks, memos, and dashboards to drive decision-making at every level.

Best-in-class attention to detail and unwavering commitment to accuracy.

Proven track record of delivering significant business impact, preferably within Finance, Sales, Support, or other GTM domains.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[SQL]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[SQL, ETL, Python, Looker]]></skills>
    <expirationdate>2026-07-18T15:54:13.911Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[OrioleDB Developer (AMER)]]></title>
    <date>2026-05-19T14:43:21.010Z</date>
    <referencenumber>cmpgih6gr03n6v2xqc0bdpumm</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/orioledb-developer-amer-2e63d023</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[AMER]]></city>
    <country>ES</country>
    <description><![CDATA[About SupabaseSupabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

About the roleWe're looking for an engineer to drive the evolution of OrioleDB and its collaboration with the upstream PostgreSQL community. OrioleDB is a next-generation storage engine for PostgreSQL, and this role sits at the intersection of database internals, open source community work, and Supabase's managed Postgres platform.

This role requires strong working overlap with Americas time zones due to production support and on-call responsibilities.

What you'll work on

New OrioleDB features. Design and implement new capabilities in OrioleDB — for example, native index access methods (GiST, GIN, HNSW for pgvector), disaster recovery tooling, and other storage-engine-level features that expand what OrioleDB can do.

Stability. Strengthen OrioleDB's reliability through deeper test coverage, fault injection, crash and recovery testing, and improvements to CI infrastructure. Ensure regressions are caught early and that OrioleDB behaves predictably under stress, replication, and failure scenarios.

Upstream collaboration. Contribute changes directly to PostgreSQL core. Part of OrioleDB lives as a patch on top of PostgreSQL — moving the right pieces upstream shrinks what we maintain ourselves and benefits the wider community. This happens through PostgreSQL's open development process: the pgsql-hackers mailing list, public code review, and commitfests.

Supabase integration. Work with Supabase's Postgres team to ensure OrioleDB fits naturally into Supabase's managed offering and roadmap.

You Will:Design, implement, and test new OrioleDB features and integrate them cleanly with PostgreSQL's planner, executor, and surrounding subsystems.

Build out and maintain test infrastructure: regression suites, fuzzing, randomized testing, crash and recovery testing, and CI pipelines.

Identify and prepare patches suitable for upstreaming to PostgreSQL core.

Improve performance, resilience, monitoring, and operational tooling for production use.

Debug and resolve complex issues in low-level C code, including in storage, replication, indexing, and query execution paths.

Participate in design discussions, architecture reviews, and code reviews — both inside Supabase and in the PostgreSQL community.

Write clear technical documentation, design notes, and upstream proposals.

Have co-responsibility for troubleshooting, analyzing, supporting and maintaining oriledb postgres and bundled extensions in production deployments. This can include answering support ticket requests, an on-call rotation, and supporting our team members in troubleshooting and fixing live customer production databases.

You Are:An existing PostgreSQL core contributor or have equivalent experience in Database internals.

An expert C programmer with 8+ years of production experience with focus on low-level systems programming

Deeply familiar with PostgreSQL’s codebase, build system, and extension APIs.

Have experience designing or implementing database storage engines, index structures, or query execution components.

Comfortable contributing to community‑driven, upstream open source projects.

Proficient in debugging and profiling complex C code in a database context.

Able to write clear technical documentation and explain design trade‑offs.

A strong communicator, committed to an open and collaborative development process.

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ comm]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Vector Search, PostgreSQL, APIs]]></skills>
    <expirationdate>2026-07-18T14:43:21.010Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Director of Product Finance, Compute & Infrastructure Demand]]></title>
    <date>2026-05-19T14:06:01.779Z</date>
    <referencenumber>cmpgih33603j2v2xq4b8iam4p</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/director-of-product-finance-compute-infrastructure-demand-015adc34</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Strategic Finance organization provides the financial insight and guidance that support the company’s long-term strategy and ambitious growth. We partner across Product, Partnerships, Engineering, and GTM to allocate resources to the highest-impact opportunities while preserving sustainable unit economics.

The Applications Technology Strategic Finance team works closely with Product and Engineering to scale core offerings and bring new products to market. We lead revenue forecasting and performance management across the product portfolio, and partner closely with the Infrastructure Engineering team to forecast infrastructure and compute demand and to manage margin targets and headcount planning with rigor.

About the Role

We are hiring a Director of Product Finance, Infrastructure and Compute Demand to help drive strategic decision-making across our product organization. This person will serve as the primary finance partner to the AGI Deployment (Applications) Infrastructure Engineering organization and play a critical role in connecting product usage, compute demand, infrastructure costs, and margin outcomes across the portfolio.

You will help build the frameworks that translate technical decisions into economic outcomes, shape planning across product and infrastructure teams, and ensure OpenAI is scaling its products with rigor and efficiency. You will also manage a small team, providing mentorship and leadership while remaining hands-on with analysis and execution.

This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Serve as the primary finance partner to the AGI Deployment (Applications) Infrastructure Engineering organization.

Own the consolidated compute and infrastructure demand forecast for the products we bring to market, partnering closely with capacity planning and supply teams to inform compute planning and allocation decisions.

Develop clear insight into the tradeoffs between customer experience, growth, and profitability, including how latency, throughput, and token usage affect margin performance.

Develop frameworks to evaluate ROI on compute and infrastructure spend across products, features, and user segments, and use those insights to inform investment and optimization decisions.

Create a durable cross-functional forum for compute economics, bringing together product, infrastructure, capacity planning, and finance to inform allocation, utilization, and margin tradeoffs.

Prepare high-quality materials for executive and Board-level discussions.

You might thrive in this role if you have:

12+ years of experience in investment banking, consulting, or buy-side investing coupled with operational experience at a fast-paced, scaling company.

A strong ability to critically evaluate opportunities and risks in financials.

The ability to distill complex financial data into actionable insights and effectively communicate with leadership.

Excellent communication skills and the ability to craft compelling narratives using data.

Attention to detail and a commitment to accuracy in financial reporting and analysis.

Familiarity with business models and metrics relevant to OpenAI.

Enthusiasm for technology and artificial intelligence.

Extensively used AI.

This is a unique opportunity to influence the financial trajectory of cutting-edge AI products while working at the intersection of strategy, finance, and technology. If you’re passionate about driving growth and optimizing product performance, we’d love to hear from you!

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasona]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-18T14:06:01.779Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Client Partner - Emerging & Scaled (Nordics / UK)]]></title>
    <date>2026-05-19T11:27:39.702Z</date>
    <referencenumber>cmpgigmhd02dyv2xqwpfzf6j6</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/client-partner-emerging-scaled-nordics-uk-b9ac271f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[Sell what you love. For us and millions of users across the globe, that’s Spotify. Join the Sales team and you’ll build the relationships that help grow our business in existing markets and beyond. We don’t just sell creative solutions to our clients and partners, we help to shape them; using our expert knowledge of ad products, sales channels and the industry to impact the way the world experiences music and podcasts. 

We are looking for an exceptional Client Partner to join our Emerging &amp; Scaled team, one of the fastest-growing units within Spotify’s Ad Sales organization. This role is perfect for someone who wakes up every morning excited to connect with clients and inspire them with the power of Spotify. 

You bring curiosity, resilience, and a collaborative mindset, along with a passion for building meaningful client partnerships. Integrity and a healthy work-life balance are non-negotiable. You’ll shape how Spotify advertisers reach audiences and elevate their connection to our platform.

What You’ll Do

Client Strategy: Lead consultative selling to inspire clients and demonstrate how Spotify can achieve their business goals.
Business Development: Proactively identify and cultivate high-potential customer relationships across diverse verticals to grow a robust sales pipeline.
Sales Propositions: Craft and present effective sales propositions, leveraging the latest platform innovations, research, and key insights.
Sales Targets: Own and exceed ambitious revenue goals through strategic, entrepreneurial approaches that drive sustainable growth.
Strategic Insight &amp; Reporting: Deliver actionable insights and detailed performance reports, analyzing campaigns to recommend improvements.
Product Expertise: Stay ahead of Spotify’s product innovations, identifying cross-selling opportunities to help clients succeed.
Pipeline Development: Skillfully manage multiple complex conversations, prioritizing engagements with efficiency using relevant software tools.
Cross-Functional Collaboration: Collaborate with Product, Marketing, and Data teams to create comprehensive strategies and optimize platform effectiveness.

Who You Are
Knowledgeable: You bring a minimum of 5+ years of experience managing pipelines and driving revenue in a digital advertising tech environment. Experience in audio advertising is a plus.
Local Market Knowledge: You have a good understanding of the Nordic advertising, media, adtech landscape, with relevant experience gained either locally or cross-border (like this role) preferred. 
Organized &amp; Self-Reliant: You thrive in a fast-paced environment and can manage multiple priorities with confidence.
Articulate: You are an effective communicator, clearly expressing both your stakeholders’ needs and your own.
Intrinsically Motivated: You are driven by your own goals and always aim to beat your personal best.
Results Oriented: You thrive on exceeding targets and making a tangible impact.
Team-Oriented: You believe in collaborative success, eager to learn from your peers and share your expertise.
Fluent Swedish and English language, spoken and written, is required.
Please apply with a CV in English.

Where You’ll Be

This role is based in London
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 2-3 times per week.
You’ll be open to periodic travel across the Nordic markets for client meetings, events, and team collaboration.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-18T11:27:39.702Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[VC Partnerships Manager]]></title>
    <date>2026-05-19T06:30:38.559Z</date>
    <referencenumber>cmpgih34n03jcv2xqavc0e54h</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/vc-partnerships-manager-ca280329</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[About the Team

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the Role

OpenAI is seeking a highly motivated and experienced VC Partnerships Manager to join our Startups Go To Market team. You will play a critical role in managing relationships with top venture capital funds and startup accelerators, with the goal of providing exceptional support to the portfolio companies of these funds.

We believe that many of the most disruptive and category-defining AI applications will be created by startups. The Startup Go To Market team’s mission is to help startups harness the power of AI models to drive these advances. You will support startups across stages with resources that help them get started with OpenAI APIs and build quickly, and provide access to OpenAI teams, community, and expertise to support their growth.

This role is a mixture of technical understanding, vision, partnership, and strategy. You’ll be responsible for forming and managing partnerships with top venture investors, accelerators, and other partners in the startup ecosystem, as well as working across the OpenAI organization to help startups accelerate their progress and be successful using our models. You’ll work cross-functionality with product, research, engineering, marketing, support, and solutions architecture to help customers get the most out of our models.

This role is based in our London office. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees.

In this role, you will:

Manage and develop a set of partner-level relationships with top venture capital funds, startup accelerator programs, and other external partners in the startup ecosystem

Develop strategies to drive adoption of OpenAI’s models among thousands of startups and ensure companies have the resources they need to build quickly and effectively using OpenAI’s models

Identify opportunities for 1:many engagements and events for founders, and execute in collaboration with VC firm and internal teams

Provide technical guidance to startups in 1:1 engagements, in partnership with internal technical teams

Represent OpenAI at startup ecosystem events and speaking engagements

Analyze key metrics within startup portfolios and create reports and provide insights to internal and external stakeholders

Contribute to the development of programs and strategic initiatives focused on startup customers

Serve as an advocate for improving the startup experience building with OpenAI, synthesizing product feedback from insights captured from our work with startups

Closely monitor the industry landscape and startup landscape to contribute to product roadmap and other corporate strategies

Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering

Support the recruitment and onboarding of other teammates

Support the development of company culture

We're seeking someone with experience including:

Passion for the startup ecosystem and supporting the growth of fast-growing companies

Experience as a founder of a venture-backed startup (preferably a technical founder), a venture capital investor, or early employee at a fast-growing startup

Technical understanding of AI technologies and AI product landscape

10+ years experience managing high-value external relationships (e.g., customers, partners, investors, Board of Directors) and working directly with founders and C-level executives

Communicating technical concepts to customers and internal stakeholders

Leading high-visibility customer engagements (e.g., conferences, 1:many events, product launches, etc.)

Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence

Public speaking ability

You might thrive in this role if you:

Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor.

Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future.

Are a builder. You are excited to impac]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[APIs]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[APIs, Product Management]]></skills>
    <expirationdate>2026-07-18T06:30:38.559Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[IT Operations Engineer]]></title>
    <date>2026-05-19T03:43:57.518Z</date>
    <referencenumber>cmpgihjgr03qov2xqlnhslqoh</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/it-operations-engineer-50e915f9</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

We're looking for an IT Operations Engineer who thrives in a fast-moving environment and takes pride in creating a seamless employee experience. You'll be on the front lines of IT, serving as the primary point of contact for employee support while owning key operational workflows across onboarding, device lifecycle management, access administration, and office technology.

This is a hands-on role where you'll support employees in real time, manage tickets from intake through resolution, troubleshoot macOS devices and office AV systems, and ensure every new hire is set up for success on day one. You'll also help manage core IT systems including Okta, Google Workspace, Slack, and our device inventory processes, making sure access, hardware, and support operations scale smoothly as the company grows.

You'll work closely with the broader IT, Security, People, and Workplace teams to resolve issues, improve processes, and identify opportunities for automation and better documentation. This role reports to the Head of IT and offers significant ownership over the day-to-day systems and experiences that keep our employees productive.

  You will be responsible forEnd-User Support &amp; Help Desk: Serves as the primary point of contact in the #it-help Slack channel, triaging and resolving employee requests in real time across hardware, software, and account issues. Manages the full ticket lifecycle through the Console ticketing system. Handles escalations and cross-functional requests with consistent follow-through.

New Hire Onboarding: Owns the day-one onboarding experience, providing new hires with their laptop and attending onboarding sessions to ensure every employee is fully set up with their device and has access to all required first-day systems and tools. Directly supports the employee lifecycle workflows the role requires at scale.

Desktop &amp; AV Support: Provides hands-on hardware support including monitor and laptop replacements, peripheral distribution, and macOS device troubleshooting. Maintains audiovisual infrastructure across the office, including Zoom conference rooms, TVs, Logitech Tap systems, and Logitech Schedulers.

Laptop Inventory &amp; Lifecycle Management: Owns the complete device lifecycle, from receiving and organizing shipments by spec, to issuing devices, coordinating replacements, and wiping returned devices for reuse. Also coordinates logistics for remote employees and incoming new hires.

Access Management &amp; Identity Administration: Manages user access across multiple platforms via individual admin consoles and the Okta Admin Console. Creates and maintains Okta groups and group rules to automate provisioning , directly aligned with the role's identity, SSO, and MDM requirements. Administers Google Groups in Google Workspace Admin and manages Slack workspace settings and permissions.

  You May Be a Good Fit If YouHave 3–5+ years of hands-on IT support experience in a fast-paced or high-growth environment

Are a strong communicator who genuinely enjoys helping people solve problems

Have solid experience supporting macOS endpoints and administering MDM tooling (Kandji experience a plus)

Have hands-on experience with Google Workspace administration

Have experience with Slack administration — workspace management, permissions, and troubleshooting

Understand identity and access fundamentals: SSO, MFA, directory services, and lifecycle management

Have experience with Okta administration — user management, group rules, and app provisioning

Take ownership of problems and follow through until they're resolved

Are organized enough to manage competing priorities without things falling through the cracks

Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?"]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Okta]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Okta, Google Workspace, Slack, Logistics, SSO, Cursor]]></skills>
    <expirationdate>2026-07-18T03:43:57.518Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Vertical Marketing Lead, Americas]]></title>
    <date>2026-05-18T19:03:42.733Z</date>
    <referencenumber>cmpgihjgg03qmv2xqahcni7cf</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/vertical-marketing-lead-americas-74f90751</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the role

We are seeking an Americas Vertical Marketing Lead to architect and scale Cursor’s enterprise marketing efforts across several key priority industries. In this role, you will build, mentor, and direct a high-performing team of specialized marketers to define the vertical strategy, establish a synchronized calendar of high-impact programs, and create account-based marketing playbooks to drive pipeline and revenue growth. You and your team will serve as trusted partners to our Enterprise Sales Leadership, leveraging deep insights into key accounts and verticals to co-author the GTM blueprint for your verticals.

We are looking for a creative, revenue-minded marketing leader who excels at operating through a team to drive massive pipeline expansion while maintaining a hands-on mentality. You should be equally comfortable partnering with sales on strategic pipeline planning as you are rolling up your sleeves to ensure a flagship experience is flawlessly delivered.

If you are an outcome-obsessed builder who continuously innovates and thrives in high-growth, fast-paced environments, we want to talk.

What you’ll do

Architect the Vertical Strategy: Partner across the organization to ensure you and your teams are building short and long-term vertical GTM strategies, aligning team programs to account prioritizations, and actively participating in sales planning cycles and QBRs to drive program adoption and success.

Wall-to-Wall ABM Execution: Oversee multi-tiered, account-based marketing frameworks designed to deeply penetrate target accounts. Guide your team in leveraging user-adoption insights and other signals to enhance marketing effectiveness and drive land and expand revenue cycles.

High-Touch Field Experiences: Direct a synchronized regional calendar of high-value field activations including bespoke experiences such as executive dinners, immersive customer workshops, account takeovers and industry summits. Leverage and build on key programs and events from field and strategic event teams.

Outcome Obsession: Hold accountability for full lifecycle execution, ensuring your team delivers targeted executive attendance, logistical excellence, and accelerated post-event sales follow-up.

Cross-Functional Content &amp; Messaging Governance: Partner with Corporate Marketing Teams to synthesize core product features into field-ready vertical playbooks, campaign assets, and case studies that accelerate deal velocity.

Data-Driven Optimization: Establish and monitor team KPIs tied to account engagement, penetration, pipeline contribution, and revenue impact. Continuous iteration based on performance data is a must.

Your DNA:

Proven Leader: 8+ years of progressive leadership experience with a track record of building, scaling, and inspiring high-performing marketing teams.

Coaching excellence: Demonstrated ability to develop talent, drive career growth, and create environments where top performers thrive.

Change management prowess: Ability to lead organizational transformation, drive adoption of new processes, and navigate ambiguity in fast-paced, high-growth environments. You see change as an opportunity, not a bug.

The Data Storyteller: You don't just report numbers; you provide insights. You are fluent in the metrics that drive the business.

The Communicator: Exceptional presentation skills. You can build trust with C-suite executives and external partners alike.

Creative Agility: you fearlessly think outside the standard playbook to deploy memorable experiences across in person, virtual and next gen marketing formats as well as the operational workflows that bring them to life. Be ready and eager to break the mold and go big!

Technical &amp; Tactical Toolkit:

Mobility: Ability to travel as needed to support theater events and team meetings.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cursor]]></skills>
    <expirationdate>2026-07-17T19:03:42.733Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Head of APAC Growth Markets, Global Affairs]]></title>
    <date>2026-05-18T18:58:17.636Z</date>
    <referencenumber>cmpgih2qo03gsv2xqse06gwsh</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/head-of-apac-growth-markets-global-affairs-db3fd09f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About the TeamOpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Achieving this goal requires deep engagement with policymakers, regulators, institutions, and communities shaping the future of AI.

The Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to ensure that external perspectives inform our work and that policy frameworks support the safe and beneficial development of AI. We work closely with research, product, legal, communications, and go-to-market teams to anticipate emerging issues, shape responsible policy outcomes, and advance OpenAI’s mission around the world.

About the RoleOpenAI is seeking an exceptional leader to serve as Head of APAC Growth Markets, Global Affairs. This role will lead OpenAI’s policy engagement, strategic partnerships, and regional campaigns across a portfolio of high-priority growth markets in Asia Pacific, including Southeast Asia and other markets selected based on strategic opportunity, regulatory developments, and company priorities.

Based in Singapore and reporting to the Head of Asia-Pacific, Global Affairs, you will build trusted relationships with governments, regulators, and influential institutions; shape regional market strategies; and help create the policy and operating conditions for OpenAI’s long-term success.

This is a senior leadership role at the intersection of technology, geopolitics, regulation, and economic transformation. You will represent OpenAI externally, help shape AI policy debates and outcomes, and partner with governments and ecosystem leaders to advance responsible AI adoption across APAC growth markets.

Key ResponsibilitiesLead OpenAI’s engagement strategy across a dynamic portfolio of APAC growth markets, with priorities refreshed based on market opportunity, policy developments, strategic partnerships, and company needs.

Build and sustain senior relationships with ministers, regulators, senior officials, multilateral institutions, industry leaders, universities, NGOs, and civil society organizations across relevant markets.

Design and execute multi-market campaigns and flagship partnerships that advance responsible AI adoption, strengthen OpenAI’s regional presence, and support priority policy outcomes.

Anticipate, track, and shape legislative and regulatory developments related to frontier AI, safety, privacy, competition, digital infrastructure, and economic opportunity.

Serve as OpenAI’s senior policy and government engagement lead across the portfolio, representing the company in senior-level meetings, summits, conferences, and bilateral dialogues.

Partner closely with research, engineering, product, legal, communications, finance, and go-to-market teams to ensure external engagement strategies are aligned with company priorities and executed effectively.

Identify emerging opportunities and risks early, develop proactive engagement plans, and ensure regional activities are tied to clear outcomes and measurable impact.

Lead and develop high-performing talent across multiple markets, fostering a culture of accountability, inclusion, creativity, and high standards.

You Should Thrive in This Role If YouAre politically astute, with strong judgment and the ability to navigate complex stakeholder environments across APAC.

Are a strategic operator who can move between senior external engagement, policy strategy, partnership development, and hands-on execution.

Have a strong track record of building trusted relationships with governments, regulators, institutions, and ecosystem leaders.

Can translate technical, policy, and geopolitical issues into clear, compelling narratives for senior stakeholders.

Operate effectively across cultures, markets, and time zones with humility, adaptability, and execution discipline.

Thrive in cross-functional environments and can bring people together around shared goals.

We’re Looking For a Blend Of10+ years of experience in government, public policy, international affairs, corporate affairs, market development, technology policy, or related fields.

Significant experience working across Asia Pacific, including Southeast Asia.

Strong relationships with policymakers, regulators, institutions, and ecosystem leaders across relevant APAC markets.

Proven ability to lead high-stakes initiatives, shape external outcomes, and execute across multiple countries simultaneously.

Experience managing and developing high-performing teams.

Strong understanding of AI-related issues, including safety, privacy, competition, digital infrastructure, and economic opportunity.

Excellent communication, negotiation, and stakeholder management skills.

Demonstrated ability to work cross-functionally in fast-paced, ambiguous environments.

Chinese language fluency or professional working proficiency is a plus.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-17T18:58:17.636Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Security Researcher, Agentic AI Threats]]></title>
    <date>2026-05-18T17:25:04.413Z</date>
    <referencenumber>cmpgih33u03j6v2xqsiw597qk</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/security-researcher-agentic-ai-threats-a1970aeb</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the teamPreparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats to global security that could scale to an extreme level of severity.

Our work involves:

Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems.

Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future.

Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework, and partnering with other staff to achieve these targets.

This is urgent, fast-paced work that has far-reaching implications for the company and for society.

About the roleAs AI agents become more capable at software engineering, and automate more of our internal work, they could become a dangerous cyber threat. People in this role will help OpenAI prepare for security threats from advanced AI agent insiders.

In this role, you will:Identify paths by which capable future internal AI agents could compromise OpenAI.

Design security controls - focusing on measures with long lead times that benefit from advanced preparation.

Stress-test defenses with AI agent evaluations and penetration tests

You might thrive in this role if you:Are deeply technical across security and modern infrastructure, and are comfortable digging into the details of operating systems, cloud, containers, CI/CD, or distributed systems.

Have strong software engineering skills and enjoy building prototypes yourself.

Are interested in engaging with stakeholders and can do so effectively.

Bonus: have experience securing cloud infrastructure, and are deeply familiar with core components of the AI stack.

Compensation Range: $293K - $405K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud, CI/CD, Distributed Systems]]></skills>
    <expirationdate>2026-07-17T17:25:04.413Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Partner Director, SI Partnerships]]></title>
    <date>2026-05-18T16:44:44.063Z</date>
    <referencenumber>cmpgigzyq02xmv2xqe7enaaj8</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/partner-director-si-partnerships-4ba643bc</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamOpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem designed to accelerate customer success, support secure AI adoption, and drive growth in support of OpenAI’s mission toward AGI. We collaborate closely across sales, technical success, product, marketing, operations, and leadership teams to turn strategic partnerships into durable commercial outcomes.

Within that team, AWS is one of OpenAI’s most strategic ecosystem partners. Beyond direct alliance engagement with AWS, a critical part of our growth strategy is enabling the Systems Integrator (SI) ecosystem to build, deliver, and scale OpenAI-powered solutions on AWS infrastructure.

Success in this space requires deep collaboration across AWS-focused SI practices, field sellers, cloud architects, delivery leaders, and OpenAI GTM teams. It requires strong operating rigor, scalable co-sell execution, and the ability to turn strategic partner relationships into measurable customer outcomes and revenue growth.

About the RoleWe are hiring a Partner Director, AWS SI Partnerships to lead and scale OpenAI’s relationships with AWS-focused practices within Systems Integrators (SIs). This person will serve as a field-facing partnership leader responsible for driving co-sell engagement, enabling AWS-focused SI teams, shaping joint solution and account strategies, and accelerating customer adoption through SI-led delivery motions.

This is a revenue-oriented partnerships role for a high-output operator who can translate ecosystem strategy into pipeline, partner-attached revenue, and scalable execution. The right candidate understands how AWS-focused SI organizations operate, knows how to earn mindshare across partner field and practice leadership teams, and can build repeatable motions that scale across multiple stakeholders and regions.

This role is based in NYC or SF. We use a hybrid work model of 3 days in the office per week.

In this role, you will:Build trusted relationships with AWS practice leaders, alliance managers, cloud sales teams, architects, and delivery leadership across key SIs and consulting partners.

Own the in-market operating relationship with AWS-focused SI partners across account mapping, joint pipeline development, opportunity coordination, and executive alignment.

Drive partner enablement on OpenAI positioning, solution use cases, technical capabilities, qualification criteria, and customer engagement best practices.

Partner closely with OpenAI Sales, Technical Success, and Product teams to support strategic enterprise opportunities involving SI-led transformation initiatives and AI deployments.

Identify, shape, and accelerate qualified opportunities emerging from AWS SI partner ecosystems and joint customer accounts.

Help SI partners build repeatable OpenAI offerings, reference architectures, delivery methodologies, and go-to-market motions aligned to AWS infrastructure and services.

Drive strong co-sell execution and operational discipline across AWS ACE, Marketplace, pipeline tracking, partner attribution, and deal progression workflows.

Develop scalable sales plays, enablement materials, field communications, and executive engagement strategies that help partners operate more independently over time.

Aggregate structured feedback from SI partners, AWS stakeholders, and customers and translate insights into recommendations for product, operations, marketing, and GTM leadership teams.

Help define the engagement model, prioritization framework, and operating cadence required to scale OpenAI’s AWS SI ecosystem globally.

Collaborate cross-functionally with Partner SAs, Cloud Specialists, Product, Engineering, Partner Marketing, Partner Operations, and executive leadership to unblock deals and improve partnership execution.

Represent OpenAI with executive presence in customer, partner, and leadership conversations where commercial judgment, technical credibility, and strategic clarity matter.

Preferred Qualifications:8+ years in partnerships, cloud alliances, ecosystem sales, business development, consulting partnerships, or related GTM roles within SaaS, cloud, AI, or platform businesses.

Significant experience working with Global Systems Integrators and consulting firms that maintain large AWS cloud practices.

Strong familiarity with AWS co-sell motions, including ACE, Marketplace, partner funding models, and partner-led sales and delivery engagement structures.

A proven track record of driving measurable revenue outcomes through strategic partnerships, not simply managing relationships.

Experience supporting complex enterprise opportunities involving cloud modernization, AI transformation, data platforms, or large-scale technical implementations.

Comfort engaging CIOs, CTOs, cloud leadership, practice heads, and senior business stakeholders in strategic and technically informed conversations.

Experience building scalable partner programs, enablement strategies, operating cadences, sale]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[AWS]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[AWS, Cloud]]></skills>
    <expirationdate>2026-07-17T16:44:44.063Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, User Operations]]></title>
    <date>2026-05-16T15:48:36.284Z</date>
    <referencenumber>cmpgihjfu03qiv2xqvsovyjdt</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-user-operations-690d9313</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the RoleWe're hiring a Software Engineer for our User Operations team to own and build our product quality infrastructure and tooling — the systems that capture, triage, route, and acts on customer and product feedback at scale. You'll work on everything from intelligent bug reporting pipelines to software that captures customer feedback at scale to systems that give our business real-time visibility into our strongest Voice of the Customer signals.

This is an internal-facing role with direct impact on product quality. You'll be building the systems that close the loop between what customers experience and what gets built — helping us catch problems before our users do, and ensuring the right signal reaches the right people, fast. If building an AI-native, first-of-its-kind Voice of the Customer program from the ground up excites you, this role is for you.

What you'll doDevelop AI-powered systems that synthesize customer signal at scale — separating noise from what matters, routing feedback to the right teams, and surfacing the voice of the customer in ways that actually shape product decisions.

Build dashboards and data pipelines that give engineering and product leaders real-time visibility into bug volume, quality trends, and where their domains stand — by product area, severity, and over time.

Build intelligent bug intake and triage systems — moving from manual, inconsistent prioritization to agentic pipelines that produce well-written, well-prioritized bug reports at scale.

Build integrations across our tooling ecosystem (ticketing systems, payment processes, CRM, data warehouse, etc.) to create seamless workflows.

Partner with domain specialists and support engineers to identify pain points and ship solutions quickly — you're building for an internal team that will tell you exactly what's broken.

You may be a fit ifExperience working cross-functionally to deliver highly impactful, technical projects and systems

Experience building internal tools, developer platforms, or operations infrastructure.

Strong full-stack engineering skills — you're comfortable owning projects from database to UI.

Experience with data pipelines, ETL processes, and analytics tooling.

Deep product knowledge of Cursor and AI-assisted development workflows.

Experience integrating with third-party platforms (ticketing systems, payment processors, CRMs).

Strong sense of ownership and a bias for action — you ship fast and iterate based on feedback.

Self-starter with curiosity, creativity, and a distaste for manual toil.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ETL]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ETL, Cursor]]></skills>
    <expirationdate>2026-07-15T15:48:36.284Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Strategic Sourcing Leader - Enterprise & Engineering Technology]]></title>
    <date>2026-05-16T00:37:23.358Z</date>
    <referencenumber>cmpgih2rm03gyv2xqvu3hst1r</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/strategic-sourcing-leader-enterprise-engineering-technology-8e670aca</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Strategic Sourcing team helps the company scale responsibly, efficiently, and at speed. We partner with technical and business leaders across Engineering, Security, IT, Finance, Legal, and Privacy to shape supplier strategy, negotiate critical agreements, and build resilient supplier ecosystems that support OpenAI’s mission.

Within Strategic Sourcing, this team manages strategic supplier relationships across engineering platforms, infrastructure software, security technology, enterprise systems, IT, and hardware. Our work connects technical roadmaps, commercial strategy, supplier leverage, financial discipline, operational resilience, and security.

About the Role

OpenAI is seeking a Strategic Sourcing, Enterprise &amp; Engineering Technology Leader to lead complex technology sourcing work across a portfolio critical to how our teams build, secure, operate, and scale. This role will report to the Senior Director / Head of Strategic Sourcing.

This is a senior sourcing leadership role for a recognized expert who can shape category direction, lead multiple complex workstreams, influence senior stakeholders, and solve high-stakes commercial problems with structured thinking and deep expertise. You will manage experienced sourcing professionals, guide strategic supplier negotiations, and help build scalable sourcing practices that strengthen OpenAI’s growth.

You will partner closely with the CTO, CISO, IT, Finance, Legal, Privacy, and business organizations to translate technical needs, security requirements, supplier constraints, adoption patterns, and long-term operating priorities into clear sourcing strategies and commercial structures.

You will also build and improve the operating system for the category, including category cards, negotiation playbooks, reporting mechanisms, supplier governance, coordinator workflows, and executive communication rhythms. You will be at the forefront of enabling AI within sourcing workflows, helping the team use AI to improve intake, market analysis, negotiation preparation, reporting, documentation, and decision quality.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Lead sourcing strategy and execution across enterprise and engineering technology categories, including infrastructure software, engineering platforms, security technology, enterprise systems, IT, and hardware.

Independently define, prioritize, and lead multiple complex sourcing workstreams, shaping supplier strategy and commercial decisions without regular oversight.

Own strategic supplier negotiations, including major renewals, enterprise license agreements, infrastructure software commitments, security technology agreements, engineering platform agreements, and hardware-related sourcing decisions.

Manage and develop experienced category leads, creating clarity, improving commercial judgment, and empowering the team to deliver strategic goals without heavy managerial intervention.

Build scalable category tools and frameworks, including category cards, negotiation playbooks, supplier segmentation, renewal calendars, reporting dashboards, and escalation paths.

Partner with senior leaders across the CTO, CISO, and IT organizations to translate technical roadmaps, security requirements, platform dependencies, adoption plans, performance needs, and supplier constraints into sourcing strategies and commercial structures.

Advise senior leaders on major supplier decisions by presenting clear deal narratives, financial impact, risk, tradeoffs, supplier context, and recommendations.

Create cost and commercial structures aligned to OpenAI’s business model, including usage-based pricing, flexible consumption models, pooled commitments, ramp structures, scale protections, and performance-based economics.

Set direction for coordinators and category partners supporting quick-turn negotiations, ensuring routine work moves quickly with consistent standards, strong documentation, and appropriate escalation.

Establish supplier governance and portfolio reporting across pipeline health, savings, risk, renewal exposure, supplier performance, forecast accuracy, QBRs, escalation management, and value realization.

Influence difficult or highly opinionated stakeholders by building trust, clarifying tradeoffs, creating alignment, and positioning sourcing as a strategic partner in technical, security, and commercial decision-making.

You might thrive in this role if you:

Have 12+ years of experience in strategic sourcing / procurement, with significant depth in enterprise technology, infrastructure software, engineering tools, security technology, IT platforms, hardware, or adjacent technology categories.

Bring 5+ years of people leadership experience, ideally including leading people managers.

Have led complex, high-stakes supplier negotiations and can balance cost]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-15T00:37:23.358Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Tech Lead, Deployment & Operations — Custom Infrastructure]]></title>
    <date>2026-05-16T00:33:32.830Z</date>
    <referencenumber>cmpgih33i03j4v2xqmbl7i9wl</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/tech-lead-deployment-operations-custom-infrastructure-88f585d8</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamOpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the RoleWe are seeking a Technical Lead to lead deployment and operations for OpenAI’s Silicon &amp; Systems team. This person will become the Directly-Responsible Individual responsible for bringing OpenAI’s custom silicon and associated systems into data center environments, ensuring successful deployment, bring-up, validation, operational readiness, and ongoing reliability at scale.

This role sits at the intersection of silicon, systems, infrastructure, data center operations, and software. You will lead a team focused on taking new hardware platforms from lab validation into production data center deployment. You will be responsible for building the operational processes, technical workflows, tooling, and cross-functional alignment required to deploy and operate custom AI hardware reliably in OpenAI’s supercomputing infrastructure.

The ideal candidate is both a strong leader and a deeply technical operator. You should be comfortable staying close to the technical details of hardware bring-up, fleet deployment, debugging, system validation, data center integration, and production operations. This role requires strong execution, excellent cross-functional judgment, and the ability to drive clarity in ambiguous, fast-moving environments.

In this role, you will:Lead a team responsible for deployment and operations of OpenAI’s custom silicon and systems in data center environments

Own the path from hardware bring-up and validation through production deployment, operational readiness, and sustained fleet support

Partner closely with silicon, systems, software, infrastructure, networking, data center, supply chain, and external partner teams to ensure successful deployment at scale

Define deployment processes, operational playbooks, technical readiness criteria, escalation paths, and reliability practices for new hardware platforms

Drive cross-functional execution across lab bring-up, rack/system integration, data center deployment, fleet monitoring, debugging, and issue resolution

Stay hands-on technically through architecture reviews, deployment planning, failure analysis, operational debugging, and critical system-level decision-making

Identify gaps in tooling, observability, automation, validation coverage, and operational processes, and build plans to close them

Establish clear metrics for deployment readiness, reliability, performance, maintainability, and operational health

Build a strong engineering culture grounded in ownership, technical rigor, operational excellence, and high-velocity execution

Ensure OpenAI’s custom hardware platforms can be deployed and operated reliably, repeatably, and safely at scale

Be a contributor and technical driver for the architecture and design of future ML systems

You might thrive in this role if you:Enjoy mentoring and developing engineers while staying deeply engaged in technical execution

Are excited by the challenge of bringing new custom hardware platforms into real-world production data center environments

Can operate across silicon, systems, software, infrastructure, and data center operations

Are comfortable leading through ambiguity, especially when the hardware, tooling, and operational model are still being built

Have strong judgment around deployment sequencing, technical risk, operational readiness, and when to escalate

Communicate clearly across technical and operational teams, and can align stakeholders through complex deployment and production issues

Care deeply about building practical systems, tools, and processes that work reliably at scale

Have a bias toward ownership and are comfortable jumping into urgent technical issues when needed

Qualifications8+ years of engineering experience in hardware systems, infrastructure, data center deployment, production operations, systems engineering, silicon bring-up, or related technical domains

Strong technical depth in one or more of: hardware deployment, data center operations, rack-scale systems, silicon bring-up, systems validation, fleet operations, reliability engineering, infrastructure automation, or hardware/software integration

Experience bringing complex hardware systems from development or validation into production environments

Experience working closely with silicon, systems, software, infrastructure, networking, or data center teams

Experience with deployment planning, operational readiness, incident r]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ML Systems]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ML Systems]]></skills>
    <expirationdate>2026-07-15T00:33:32.830Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Scientist, Safety]]></title>
    <date>2026-05-15T23:36:50.597Z</date>
    <referencenumber>cmpgih2xk03i4v2xq5qhc8wz9</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/data-scientist-safety-525bd633</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[About the Team

OpenAI’s Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle some of the company’s most important challenges across understanding and preventing misuse and misalignment, intercepting fraud and abuse, and protecting vulnerable users.

We are hiring Data Scientists to help build the analytical foundations that allow OpenAI to deploy increasingly capable AI responsibly.

This is a high-impact role operating at the intersection of product, safety, policy, and research.

 About the Role

As a Data Scientist, Safety, you will help solve complex and ambiguous problems where rigorous analysis directly informs critical decisions.

Depending on your background and team alignment, you may work on areas such as:

Measure harmful or abusive behavior across OpenAI’s products

Detect fraud, manipulation, coordinated misuse

Evaluate and improve safety classifiers, rules systems, mitigation systems, and human review workflows

Design experiments and causal analyses to understand product, policy, and mitigation impacts

Build prevalence estimators, dashboards, monitoring systems, and executive decision frameworks

Diagnose gaps in safety and integrity systems using behavioral and product data, and help quantify and navigate false positive / false negative tradeoffs

Translate ambiguous safety risks into measurable problems and evidence-based recommendations

Partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes

Build zero-to-one analytical systems in rapidly evolving domains

 Ideal Candidate

We’re looking for strong Data Scientists who thrive in ambiguous, high-leverage environments.

You may be a fit if you have:

Strong statistical reasoning and analytical judgment

Experience with experimentation, causal inference, or observational analysis

Strong SQL and Python skills

Experience working with messy, incomplete, or noisy datasets

Ability to structure open-ended business or risk problems

Excellent communication with technical and non-technical stakeholders

High ownership and comfort operating independently

Helpful backgrounds include:

Trust &amp; Safety / Integrity

Fraud &amp; abuse

Security analytics

AI/ML model measurement and evaluation

Alignment and AI safety research

Biosecurity, synthetic biology, infectious diseases, or computational biology

 Why This Role

Work on mission-critical problems with world-level impact

Help shape how frontier AI systems are deployed safely

Operate with unusual ownership and visibility

Solve novel problems where there are no existing playbooks

Join highly collaborative teams working across OpenAI

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[SQL]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[SQL, Python]]></skills>
    <expirationdate>2026-07-14T23:36:50.597Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Scientist, Safety]]></title>
    <date>2026-05-15T23:36:37.483Z</date>
    <referencenumber>cmpgih31l03isv2xqvrbhs9gi</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/data-scientist-safety-9a56d683</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle some of the company’s most important challenges across understanding and preventing misuse and misalignment, intercepting fraud and abuse, and protecting vulnerable users.

We are hiring Data Scientists to help build the analytical foundations that allow OpenAI to deploy increasingly capable AI responsibly.

This is a high-impact role operating at the intersection of product, safety, policy, and research.

 About the Role

As a Data Scientist, Safety, you will help solve complex and ambiguous problems where rigorous analysis directly informs critical decisions.

Depending on your background and team alignment, you may work on areas such as:

Measure harmful or abusive behavior across OpenAI’s products

Detect fraud, manipulation, coordinated misuse

Evaluate and improve safety classifiers, rules systems, mitigation systems, and human review workflows

Design experiments and causal analyses to understand product, policy, and mitigation impacts

Build prevalence estimators, dashboards, monitoring systems, and executive decision frameworks

Diagnose gaps in safety and integrity systems using behavioral and product data, and help quantify and navigate false positive / false negative tradeoffs

Translate ambiguous safety risks into measurable problems and evidence-based recommendations

Partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes

Build zero-to-one analytical systems in rapidly evolving domains

 Ideal Candidate

We’re looking for strong Data Scientists who thrive in ambiguous, high-leverage environments.

You may be a fit if you have:

Strong statistical reasoning and analytical judgment

Experience with experimentation, causal inference, or observational analysis

Strong SQL and Python skills

Experience working with messy, incomplete, or noisy datasets

Ability to structure open-ended business or risk problems

Excellent communication with technical and non-technical stakeholders

High ownership and comfort operating independently

Helpful backgrounds include:

Trust &amp; Safety / Integrity

Fraud &amp; abuse

Security analytics

AI/ML model measurement and evaluation

Alignment and AI safety research

Biosecurity, synthetic biology, infectious diseases, or computational biology

 Why This Role

Work on mission-critical problems with world-level impact

Help shape how frontier AI systems are deployed safely

Operate with unusual ownership and visibility

Solve novel problems where there are no existing playbooks

Join highly collaborative teams working across OpenAI

 Location

San Francisco or New York depending on team alignment and business need.

Compensation Range: $230K - $325K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting complia]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[SQL]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[SQL, Python]]></skills>
    <expirationdate>2026-07-14T23:36:37.483Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Quality Engineer]]></title>
    <date>2026-05-15T22:05:41.850Z</date>
    <referencenumber>cmpgihjg503qkv2xqa19b8c5w</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-quality-engineer-8fbc68e3</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the RoleWe're hiring a Product Quality Engineer for our User Operations team to own the feedback loop between our users and our product. You'll sit at the heart of our business — deeply specialized in specific product domains, responsible for ensuring the most critical bugs and customer insights reach the right people, fast. This is a senior, high-ownership role: a trusted product expert across the organization, a key driver of the quality bar we hold ourselves to, and the connective tissue between what our customers experience and what we build.

What you’ll doBuild and own an AI-native, first-of-its-kind Voice of the Customer program — synthesizing signal from across our user base to surface what matters most to our business, including product and engineering leadership.

Develop and maintain feedback loops that translate customer experience into product decisions in real-time, at a pace that matches how fast we're moving.

Drive agentic bug prioritization at scale — working with tooling to move from manual triage to automated pipelines, and applying business context where humans need to stay in the loop.

Serve as the senior escalation point between frontline support and engineering, owning the most critical customer issues in your domain at any given time.

Act as the go-to product expert across User Ops and the broader business, fielding technical and product questions that would otherwise land on engineering.

Partner with engineering teams on key initiatives in your domain, contributing product and customer context that shapes prioritization and roadmap decisions.

Contribute to the tooling and infrastructure that makes quality operations more scalable — bug reporting systems, VoC pipelines, and feedback loop infrastructure.

You may be a fit ifDeep product and technical knowledge — you can quickly get to the bottom of a complex bug and articulate it in a way that unblocks an engineer.

Experience in technical support, software engineering, or a quality-adjacent role at a senior level.

Strong debugging and reproduction skills; you don't just report problems, you understand them.

Sharp judgment on prioritization — you know what a P0 looks like and you don't treat everything like one.

Clear, concise communication across technical and non-technical audiences — from writing a crisp bug report to briefing a product leader.

High ownership mentality — you treat the quality of your product domains as a personal responsibility.

Self-starter with curiosity, a distaste for manual toil, a bias for action, and the ability to operate with confidence in ambiguous, fast-moving environments.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cursor]]></skills>
    <expirationdate>2026-07-14T22:05:41.850Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Client Partner, Enterprise - UK]]></title>
    <date>2026-05-15T15:17:38.339Z</date>
    <referencenumber>cmpgigmhr02e0v2xq778ysa1l</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/client-partner-enterprise-uk-7c4c382d</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[Sell what you love. For us and millions of users across the globe, that’s Spotify. Join the Sales team and you’ll build the relationships that help grow our business in existing markets and beyond. We don’t just sell creative solutions to our clients and partners, we help to shape them; using our expert knowledge of ad products, sales channels and the industry to impact the way the world experiences music and podcasts. 

We are looking for an outstanding Client Partner to join our UK Enterprise Sales Team! This Client Partner will be an individual contributor responsible for the growth of key accounts. Our new Client Partner is someone with a true love for Spotify and a drive to produce creative and innovative solutions for our key clients and partners.

You’re confident while staying humble, work hard, and know how to have fun. Above all, your work will impact the way the world experiences music and podcasts on Spotify.

What You'll Do
Sell audio advertising, display formats, video formats, and other ad solutions to grow advertising revenue across agencies and direct clients, including programmatic
Provide strategic solutions, anticipate client needs, and influence vertical or sub-vertical strategies
Manage a portfolio of enterprise-level advertisers with high complexity
Work across multiple agency departments including strategy, comms planning, radio, digital, programmatic, branded content, and innovation teams to deliver successful campaign
Partner with communications planning teams, strategic planners, account directors, and buyers to build successful ad campaigns
Educate and inspire clients to use Spotify to enhance their business and connect with audiences in meaningful ways
Represent Spotify at industry events and serve as a brand ambassador
Manage sales activity and pipeline reporting using Salesforce

Who You Are
You have 5+ years of experience in a media agency or online sales role
You have knowledge of online and offline media and know how to build creative audio and digital solutions for clients
You communicate clearly and confidently with mid-to-senior level stakeholders
You have a track record of meeting or exceeding sales goals, including renewals, upselling, and account growth
You are experienced creating reports and presentations using Excel, PowerPoint, Keynote, and similar tools
You have a deep understanding of the digital advertising ecosystem
You adapt well to change, collaborate effectively across teams, and bring a positive attitude to your work
You thrive in a fast-paced environment and enjoy delivering creative, fresh campaigns with internal and external partners

Where You'll Be
This role is based in London
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
We ask that you come into the London office 2-3 times per week.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Salesforce]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Salesforce, Excel, PowerPoint]]></skills>
    <expirationdate>2026-07-14T15:17:38.339Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Tooling Engineer]]></title>
    <date>2026-05-15T13:46:40.335Z</date>
    <referencenumber>cmpgih6af03m6v2xqj3vfrwmy</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-tooling-engineer-e71bcb4e</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[We are looking for an AI Tooling Engineer with strong expertise in JavaScript/TypeScript to help shape how developers and agents build with Supabase.

As part of our engineering team, you'll work across product surfaces like the dashboard assistant, MCP, docs, and developer tooling to make Supabase a seamless platform for AI-native workflows. You'll combine product thinking, strong engineering fundamentals, and an eval-first mindset to build reliable tools, interfaces, and abstractions that serve both our own AI products and the developers building with Supabase.

What You’ll Own:

Build and maintain Supabase's AI tooling, including surfaces such as MCP, agent skills, and other interfaces developers and agents use to work with Supabase.

Progress Supabase's dashboard assistant into a genuinely useful self-serve product for debugging and day-to-day product workflows.

Understand how customers are using AI tools and translate those workflows into better product experiences, abstractions, and documentation.

Drive an eval-first approach by building and improving evaluation frameworks, instrumentation, and feedback loops across real use cases.

Design and improve the ways documentation and product knowledge are exposed to agents.

Build tools and patterns customers can use to incorporate AI into their own apps, including areas like MCP on Edge Functions, vector embeddings, and agents running on Edge Functions.

Centralize shared AI logic and reduce duplicated patterns across our products and services.

Ensure the tools we ship are battle-tested, with strong test coverage, benchmarking, and stress testing where appropriate.

Work cross-functionally with docs, CLI, frontend, API, and other teams to deliver coherent developer experiences.

Stay close to the fast-moving AI ecosystem and make good product and engineering decisions about what is actually useful to builders.

What You Bring:

Strong experience in TypeScript and the JavaScript ecosystem, including npm, ES modules, bundlers, and browser compatibility concerns.

Deep familiarity with the AI ecosystem, including current tools, agent patterns, and practical tradeoffs.

Experience building developer tools, product interfaces, or platform primitives used by other engineers.

Experience designing or using evaluation frameworks to measure AI quality, reliability, and task success.

Familiarity with Postgres and database best practices.

Experience with vector databases and embeddings, ideally with pgvector or similar Postgres extensions.

Strong judgment about where AI improves user workflows and how to avoid fragile or gimmicky experiences.

Strong focus on writing tests and validating reliability in real-world conditions.

Strong communication skills and the ability to work cross-functionally across product, engineering, and documentation.

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Hiring ProcessWe keep things simple, async-friendly, and respectful of your time:

Apply – Our team will review your application.

Intro Call – A short video chat to get to know each other.

Interviews – Up to four calls with:

Team Leads

Future teammates

Someone cross-functional from product, growth, or engineering (depending on the role)

Someone from our leadership/founding team

Decision – We may follow up with a final question or go straight to offer.

All communication is remote and we aim to move fast.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[JavaScript]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[JavaScript, TypeScript, Postgres]]></skills>
    <expirationdate>2026-07-14T13:46:40.335Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Machine Learning Engineer, Zeitgeist, Personalization]]></title>
    <date>2026-05-15T13:19:44.400Z</date>
    <referencenumber>cmpgignfa02l2v2xqoum2d3fi</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-machine-learning-engineer-zeitgeist-personalization-dc9c26c6</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music, podcasts, and listeners better than anyone else and by leveraging the latest in Generative AI. Join us and you’ll give millions of listeners great music and talk experiences, personalized to each and every one of them. 

The AI Foundation team within Personalization provides the state-of-the-art foundational data and tech with which we are inventing and shipping new interactive, personalized listening experiences. This is a team of about a hundred AI/ML Engineers, Applied Research Scientists, Product Managers, and domain experts.

You’ll join the Zeitgeist squad within the AI Foundation team. We focus on building the systems and models that help Spotify understand culture in real time—what’s trending, why it matters, and how it shapes listening. You’ll leverage large language models and agentic workflows, and work closely with engineers, data scientists, and product partners to turn signals into meaningful user experiences. This is an exciting mix of platform-level content understanding and experience-level user presentation.

What You'll Do

Design, build, and ship agentic systems that ground personalized listening experiences in cultural context and world knowledge, used by hundreds of millions of Spotify users
Develop and maintain pipelines for extracting, structuring, and serving cultural signals at scale, leveraging LLMs and agentic workflows
Partner closely with teams across Personalization to integrate foundational cultural data and tech into new agentic listening experiences
Own components end-to-end — from data pipelines and model training to production serving and monitoring
Design and build evaluation tooling (including LLM-as-judge frameworks and dataset analysis), and run experiments to evaluate the impact of cultural context signals on user experience and engagement
Help define the technical direction of the squad, contributing to architecture decisions, and shaping what building "0-to-1" experiences looks like in practice

Who You Are
You have 5+ years of experience building and shipping machine learning models end-to-end
You have a strong foundation in Python (Java and Scala are a plus) and experienced with GCP tools (e.g. Dataflow, BigQuery)
You have hands-on experience with LLMs and agent orchestration frameworks (e.g. LangChain, LlamaIndex, Pydantic), building tool-calling agents, RAG, and vector databases 
You have built and shipped production-scale, data-driven AI/ML systems, ideally in content understanding, knowledge graphs, NLP, MIR, or related domains
You are excited but not overhyped by the potential of Generative AI
You're comfortable operating as a 0-to-1 builder — you thrive in ambiguous, exploratory spaces and can move from idea to experimentation to production with confidence
You care about building inclusive, user-centric products, and you think about AI and ML in the context of products and user impact, not just tech
You have worked effectively in collaborative, cross-functional environments
You care deeply about code quality, reliability, and scalability

Where You'll Be

This role is based in London or Stockholm
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Machine Learning, Generative AI, LLMs, Python, Java, Scala, GCP, LangChain, LlamaIndex, RAG, ML Systems, NLP]]></skills>
    <expirationdate>2026-07-14T13:19:44.400Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Machine Learning Engineer, Zeitgeist, Personalization]]></title>
    <date>2026-05-15T13:17:26.508Z</date>
    <referencenumber>cmpgignex02l0v2xqodt3g18q</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-machine-learning-engineer-zeitgeist-personalization-5b64f605</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music, podcasts, and listeners better than anyone else and by leveraging the latest in Generative AI. Join us and you’ll give millions of listeners great music and talk experiences, personalized to each and every one of them. 

The AI Foundation team within Personalization provides the state-of-the-art foundational data and tech with which we are inventing and shipping new interactive, personalized listening experiences. This is a team of about a hundred AI/ML Engineers, Applied Research Scientists, Product Managers, and domain experts. 

You’ll join the Zeitgeist squad within the AI Foundation team. We focus on building the systems and models that help Spotify understand culture in real time—what’s trending, why it matters, and how it shapes listening. You’ll leverage large language models and agentic workflows, and work closely with engineers, data scientists, and product partners to turn signals into meaningful user experiences. This is an exciting mix of platform-level content understanding and experience-level user presentation.
What You'll Do

Design, build, and ship agentic systems that ground personalized listening experiences in cultural context and world knowledge, used by hundreds of millions of Spotify users
Develop and maintain pipelines for extracting, structuring, and serving cultural signals at scale, leveraging LLMs and agentic workflows
Partner closely with teams across Personalization to integrate foundational cultural data and tech into new agentic listening experiences
Own components end-to-end — from data pipelines and model training to production serving and monitoring
Design and build evaluation tooling (including LLM-as-judge frameworks and dataset analysis), and run experiments to evaluate the impact of cultural context signals on user experience and engagement
Help define the technical direction of the squad, contributing to architecture decisions, and shaping what building "0-to-1" experiences looks like in practice

Who You Are

You have 5+ years of experience building and shipping machine learning models end-to-end
You have a strong foundation in Python (Java and Scala are a plus) and experienced with GCP tools (e.g. Dataflow, BigQuery)
You have hands-on experience with LLMs and agent orchestration frameworks (e.g. LangChain, LlamaIndex, Pydantic), building tool-calling agents, RAG, and vector databases 
You have built and shipped production-scale, data-driven AI/ML systems, ideally in content understanding, knowledge graphs, NLP, MIR, or related domains
You are excited but not overhyped by the potential of Generative AI
You're comfortable operating as a 0-to-1 builder — you thrive in ambiguous, exploratory spaces and can move from idea to experimentation to production with confidence
You care about building inclusive, user-centric products, and you think about AI and ML in the context of products and user impact, not just tech
You have worked effectively in collaborative, cross-functional environments
You care deeply about code quality, reliability, and scalability

Where You'll Be

This role is based in New York
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home

The United States base range for this position is $184,050- $262,928 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Machine Learning, Generative AI, LLMs, Python, Java, Scala, GCP, LangChain, LlamaIndex, RAG, ML Systems, NLP]]></skills>
    <expirationdate>2026-07-14T13:17:26.508Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Solutions Engineer, Pre-Sales - Tokyo]]></title>
    <date>2026-05-15T08:17:20.053Z</date>
    <referencenumber>cmpgigzrt02vyv2xq8bqvhl8m</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/solutions-engineer-pre-sales-tokyo-829e9227</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Tokyo]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

The Technical Success team is responsible for the customer experience on both the OpenAI API platform as well as the ChatGPT business product, ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We are seeking a Solutions Engineer to partner with our customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Mid Market/Enterprise Sales, Security, and Product teams.

This role is based in Tokyo, Japan. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees

In this role, you will:

Deliver an exceptional pre-sales customer experience.

Provide technical expertise in the pre-sales process, outlining the value proposition, clarifying technical requirements, and answering product-related questions.

Demonstrate how the ChatGPT business product can provide solutions to customers’ business needs and deliver value, including (but not limited to) demos, use case scoping, and proof of concepts.

Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g. trust portal), and escalating complex requirements to the appropriate teams.

Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

Develop and nurture strong customer relationships during the evaluation and purchasing process.

Foster customer advocacy and represent the voice of the customer with internal teams, gathering and relaying customer feedback and identifying themes across customers to incorporate into product planning.

Collaborate closely with the Sales and GRC teams to ensure a seamless pre-sales experience.

You might thrive in this role if you: 

Have 7+ years of experience in a Solutions Engineer (or similar) role, managing relationships with large, global, and complex organizations, preferably working with a technical enterprise product.

Are fluent in both Japanese and English, as this is essential for partnering with customers, providing technical expertise, demonstrating value, and collaborating effectively with teams at headquarters.

Have a solid track record of delivering and scaling an exceptional pre-sales customer experience.

Have experience providing higher level security and compliance support as well as a thorough understanding and knowledge of IT security principles and customer requirements for similar technical B2B SaaS products.

Possess exceptional presentation and communication skills, particularly when engaging with executives and leaders.

Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.

Operate with high horsepower, have strong problem-solving skills, are adept at frequent context switching, effectively manage working on multiple projects at once with expansive ownership, and ruthlessly prioritize.

Are personally committed to fostering the safe and ethical evolution of AI.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For uninc]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[ChatGPT]]></skills>
    <expirationdate>2026-07-14T08:17:20.053Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Regional Director, Field Engineering - Verticals]]></title>
    <date>2026-05-15T01:05:23.764Z</date>
    <referencenumber>cmpgihjfg03qgv2xq5an8v1z3</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/regional-director-field-engineering-verticals-e925f334</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the roleWe're hiring a Regional Director, Field Engineering to build and lead a high-impact pre-sales Field Engineering team within one of our key industry verticals: High Tech, Retail, Life Sciences, Financial Services, Public Sector, Aerospace, or Healthcare. This role sits at the intersection of Sales, Product, and Engineering and is responsible for ensuring our technical pre-sales motion scales with quality, speed, and credibility inside a specific vertical.

As the Regional Director, Field Engineering, you'll manage and develop Field Engineers who partner closely with AEs to run technical discovery, demos, and proofs of concept with the largest and most complex accounts in your vertical. You'll also stay close to customers and deals yourself, coaching in real time, unblocking complex evaluations, and ensuring Cursor is positioned as the best AI-native development platform for your industry.

This is a hands-on, entrepreneurial leadership role for someone who combines deep vertical expertise, technical fluency, strong people management, and the drive to build something from scratch.

What you'll doLead, coach, and scale a team of Field Engineers supporting enterprise opportunities within your vertical

Partner closely with Sales leadership and AEs to drive high-quality technical discovery, demos, and POCs with strategic and Fortune 500 accounts

Own the 0-to-1 build-out of the vertical Field Engineering practice — including field events, industry-specific collateral, customer stories, and deep executive relationship building

Establish best practices for evaluations, proof-of-concept execution, and technical deal strategy tailored to the buyers, compliance requirements, and workflows of your vertical

Serve as an escalation point for complex customer evaluations and high-stakes enterprise deals

Hire, onboard, and develop top-tier Field Engineering talent with relevant vertical experience; set clear expectations and career paths

Act as the voice of the field internally, feeding vertical-specific customer and prospect insights back to Product and Engineering

Ensure tight handoffs with post-sales teams to support successful customer onboarding and adoption

Maintain deep knowledge of Cursor's product, roadmap, and competitive landscape

You may be a fit ifYou have 3+ years leading Field Engineers, Solutions Architects, or Pre-Sales teams focused on a specific vertical or strategic/Fortune 500 accounts

You have demonstrated expertise selling to or supporting accounts in one or more of our target verticals (High Tech, Retail, Life Sciences, Finserv, Public Sector, Aerospace, Healthcare), and direct industry background is a strong plus

You have a proven track record selling to and engaging technical buyers, developers, architects, CTOs, and their equivalents in regulated or complex industries

You have a strong technical foundation and fluency in modern software development workflows, AI tooling, and developer productivity

You have an entrepreneurial drive, and are comfortable building from zero, creating enablement assets, running field events, and developing the vertical playbook without a template to follow

You have a proven ability to partner effectively with Sales while maintaining technical integrity and customer trust

You have strong communication skills and executive presence, able to engage across technical and business stakeholders at the largest accounts in your industry]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cursor]]></skills>
    <expirationdate>2026-07-14T01:05:23.764Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Solutions Architect, Digital Natives]]></title>
    <date>2026-05-15T00:59:13.896Z</date>
    <referencenumber>cmpgih32v03j0v2xq3a6sc0j3</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/solutions-architect-digital-natives-e3ce07a0</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Solutions Architect, Digital Natives (OpenAI OpCo, LLC; San Francisco, CA): 

Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions. Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap. Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production. Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers. Share learnings and collaborate with internal teams to inform product development and improve customer outcomes. Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

Telecommuting permitted from within the U.S.

Minimum requirements: Bachelor’s degree or foreign equivalent in Data Science, Computational Mathematics, or related field, plus five (5) years of experience as a Solutions Architect, Data Science Consultant, Software Engineer, or related occupation.

Must have experience with the following:

Building GenAI prototypes, proofs of concept, and demos for large multinational corporations;

Python, JavaScript, TypeScript, Node.js, React, Github;

AI application development: RAG, evals, multi-agent systems, orchestration, and caching;

Deploying solutions on AWS, GCP, Azure, containers and Docker, and serverless;

Networking basics around bastions and VPCs;

Observability tooling: Datadog and Humio; and

Enterprise security, privacy, and compliance: SOC 2, PII handling, and DLP.

Salary: $175,000 - $240,000 per year

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[GenAI]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[GenAI, Python, JavaScript, TypeScript, Node.js, React, GitHub, RAG, AWS, GCP, Azure, Docker, Datadog]]></skills>
    <expirationdate>2026-07-14T00:59:13.896Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Manager, AI Deployment Engineering (Korea)]]></title>
    <date>2026-05-15T00:22:33.689Z</date>
    <referencenumber>cmpgih1q8039yv2xqapryppeo</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/manager-ai-deployment-engineering-korea-ea91819b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Seoul]]></city>
    <country>ES</country>
    <description><![CDATA[About the team

The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As the leader of our AI Deployment Engineers in Korea, you’ll help technology and software companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.

About the role

We are seeking an AI Deployment Engineering leader to ensure the technical success of our most strategic technology and software customers in Korea. In this role, you will manage the entire implementation journey, ensuring seamless platform integration. As the voice of our customers, you will align technical teams to deliver a consistent and exceptional experience throughout the customer lifecycle. Success will be measured by live production applications, increased API adoption, and impactful customer stories that demonstrate the value of our technology.

This role is based in our Seoul office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Own the strategy and operating model of the AI Deployment Engineering team in Korea, ensuring alignment with company objectives and the evolving needs of our customers.

Lead, build, and mentor a team of high-performing AI Deployment Engineers to deliver exceptional customer outcomes, as demonstrated by production customer applications and increased API adoption.

Serve as the technical advocate for our customers, synthesizing their needs to develop the Research and Applied Product/Engineering roadmaps.

Act as the primary technical escalation point during development, fostering trust and maintaining direct communication with executive-level stakeholders.

Serve as an industry thought leader, championing the safe and innovative application of our technology across various sectors.

You’ll thrive in this role if you:

Have 8+ years of experience in a technical customer-facing role, managing C-level technical and business relationships with complex global organizations.

Have 4+ years of experience leading technical post-sales teams with a demonstrated ability to hire, develop, and manage technical teams.

Have led complex implementations of technical solutions (preferably Generative AI/traditional ML related) and have knowledge of network/cloud architecture.

Are an effective and polished communicator who can translate business and technical topics to all audiences and mentor others to do the same.

Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you beli]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Generative AI]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Generative AI, GenAI, Cloud]]></skills>
    <expirationdate>2026-07-14T00:22:33.689Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Systems Engineer, Codex Agents]]></title>
    <date>2026-05-15T00:10:14.175Z</date>
    <referencenumber>cmpgih32j03iyv2xqu6dadxp2</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-systems-engineer-codex-agents-34009588</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[AI Systems Engineer - Codex Core Agents

About The Team
The Codex Core Agents team builds the agent harness that turns model capability into real-world action. We own the systems around the model: prompting and interpreting model outputs, executing actions safely in real environments, and feeding production experience back into better models and better agent behavior.
This team sits close to research and works across the stack: harness, model interaction, inference, sandboxed execution, orchestration, evals, production reliability, and the performance envelope around tokens, latency, cost, capacity, and quality. The harness is open source and increasingly part of how models are trained and evaluated, making this one of the highest-leverage layers in Codex.

About The Role
We’re looking for engineers to build the AI systems that make Codex agents dependable in production. The ideal candidate is an agent-systems builder: hands-on across low-level systems and ML workflows, able to debug Codex behavior end to end across the harness, model behavior, inference/runtime stack, GPU fleet, and product surface.

You’ll work with research, infrastructure, and product to design agent harness capabilities, run experiments and ablations across the model + system prompt + harness stack, build frameworks for assessing production agent performance, and turn messy failures into durable improvements.

What You’ll Do

Design and build the core agent harness and execution loop that lets Codex agents interpret model outputs, use tools, execute code, and complete long-horizon tasks safely.

Build sandboxing, isolation, orchestration, state, and workflow infrastructure for agents operating in real development environments.

Develop evaluation, experimentation, and debugging systems that distinguish harness issues, model behavior, inference/runtime issues, and product failures.

Run ablations across prompts, model-facing interfaces, context construction, tool-use strategies, and harness behavior to improve solve rate, reliability, latency, and cost.

Improve observability, profiling, and diagnostics across the agent stack, from backend systems to inference, GPUs, and fleet capacity.

Work closely with research to make the harness trainable, measurable, and useful for improving frontier agentic models.

Build shared primitives that make Codex faster, safer, more reliable, and easier for other teams and open-source users to build on.

You Might Be A Good Fit If You

Have built or operated production systems in distributed systems, infrastructure, developer tooling, sandboxing, virtualization, cloud platforms, or ML systems.

Enjoy working across layers: Rust systems code, Python configuration layers, APIs, agent orchestration, evals, logs/traces, inference behavior, runtime constraints, and user outcomes.

Have hands-on experience with LLM applications, coding agents, evals, model deployment, inference, compiler/runtime performance, or developer platforms.

Care deeply about reliability, safety, performance, debuggability, and clean abstractions.

Can debug from evidence and move quickly from ambiguous production failures to practical, durable fixes.

Want to work close to research while still shipping changes to production

Still write meaningful code, show strong ownership, and can lead scoped or multi-team AI systems work.

Bonus Points

Deep Rust, systems, sandboxing, isolation, or low-level platform experience.

Experience with coding agents, agent harnesses, tool-using LLM systems, model evals, or post-training feedback loops.

Background in compilers, kernels, runtimes, inference optimization, GPU systems, benchmarking, profiling, or performance engineering.

Experience building production infrastructure used by many engineers or users under demanding reliability and security constraints.

Open-source infrastructure or developer-platform work with strong taste for APIs and usability.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be con]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Codex, GPUs, Distributed Systems, Cloud, ML Systems, Rust, Python, APIs]]></skills>
    <expirationdate>2026-07-14T00:10:14.175Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Account Director, Federal Partnerships]]></title>
    <date>2026-05-14T20:38:38.873Z</date>
    <referencenumber>cmpgih00302xyv2xqye02seps</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/account-director-federal-partnerships-878bdd25</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Washington]]></city>
    <country>ES</country>
    <description><![CDATA[About the team
OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their organization. The team comprises Sales, Solutions, Support, Marketing, and Partnership professionals who collaborate to create valuable solutions that will help bring AI to as many users as possible.

About the role

Our Federal Sales team has a unique mission to help government customers understand the transformative impact that highly capable AI models can bring to their agencies and missions. This role combines technical understanding, strategic vision, partnership management, and value-driven strategy tailored specifically to federal customers.

You’ll drive key opportunities through the entire federal sales cycle, from pipeline generation to closure. You’ll collaborate closely with researchers, engineers, and solution strategists to help government customers advance their missions through AI.

This role is based in Washington DC. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you'll:

Manage a focused set of key federal accounts, developing and executing comprehensive federal account plans

Lead federal customers through their AI adoption journey, from consideration to successful deployment

Partner with solutions and research engineering to build and execute complex government customer programs and projects

Own and manage a federal consumption revenue target

Oversee consumption revenue forecasting and reporting

Analyze key federal account metrics and provide insights to internal and external stakeholders

Closely monitor the federal landscape (agencies, policies, competitors, partners, etc.) to inform product roadmaps and corporate strategies

Collaborate cross-functionally with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering

Support the recruitment and onboarding of federal-focused team members

Foster the development of our company culture within the federal practice

We're seeking someone with experience including:

10+ years selling platform-as-a-service and/or software-as-a-service specifically into federal government accounts

Achieving federal revenue targets of &gt;$2M per year consistently over multiple years

Designing and executing complex federal deal strategies, including familiarity with government contracting and procurement processes

Supporting growth in fast-paced, high-performance federal environments

Working directly with senior government executives and federal agency leaders

Communicating technical and strategic concepts clearly to government customers and internal stakeholders

Leading high-visibility federal customer events, briefings, and industry engagements

Gathering, distilling, and processing detailed federal market intelligence (agency priorities, policy changes, competitor activities, etc.)

You might thrive in this role if you:

Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy.

Are customer-centric. You are motivated to deeply understand federal customers’ priorities and help them achieve their mission-critical objectives using AI. You build trusted relationships with government executives and stakeholders across agencies.

Have a passion or deep curiosity about artificial intelligence. You embrace the opportunity to help deploy OpenAI’s technology in a way that benefits federal missions and humanity. You’re enthusiastic about educating government customers on AI capabilities and strategic implications.

Are a builder. You enjoy impacting how our company grows its federal business. You excel in establishing robust systems and processes tailored to federal requirements, executing them with precision and agility.

Are excited by new challenges. You thrive when solving complex federal-specific problems. Bespoke challenges requiring multidimensional federal knowledge excite you, and you’re eager to experiment with innovative solutions within government environments.

Push the organization. You deeply understand federal go-to-market best practices and proactively contribute to strategic initiatives. You plan years ahead, effectively aligning internal and external federal stakeholders to achieve long-term objectives.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Product Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Product Management, Excel]]></skills>
    <expirationdate>2026-07-13T20:38:38.873Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Readiness & Enablement Lead, SMB Sales]]></title>
    <date>2026-05-14T20:36:58.153Z</date>
    <referencenumber>cmpgih31703iqv2xqmtnfthfs</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/readiness-enablement-lead-smb-sales-1a68148a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The B2B Marketing team contributes to OpenAI’s broader mission of ensuring responsible and widespread adoption of artificial intelligence. We are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform across SMB, enterprise, and developer audiences.

The SMB Sales team is responsible for helping businesses around the world understand, adopt, and succeed with OpenAI’s products. As OpenAI scales across regions, vendors, and sales motions, we are building the operating systems that ensure our frontline teams can execute with consistency, quality, and speed.

We partner closely with Sales Leadership, Vendor Management, Program Management, Revenue Operations, Product, and vendor leadership to design scalable commercial motions and ensure sellers are prepared to deliver high-quality customer experiences. Our work sits at the intersection of strategy, execution, and operational rigor.

About the Role

We are hiring a global Readiness &amp; Enablement Lead to build and scale the onboarding, training, quality, certification, and seller readiness operating system across OpenAI’s outsourced SMB Sales vendor network.

This is not a traditional training coordinator role. We are looking for a builder who can design scalable readiness frameworks, identify performance risks early, and create repeatable systems that help sellers ramp faster, perform better, and maintain high quality as the business evolves.

This role is global by design. You’ll travel across vendor sites, inspect frontline execution, calibrate quality firsthand, and ensure consistent readiness standards across regions, vendors, and sales motions. The core principle is simple: training is not an event; readiness is a system.

In this role, you will:

Build and scale global onboarding, readiness, and certification frameworks across SMB sales vendors, regions, and sales motions

Create role-based onboarding paths, knowledge checks, pass/fail standards, and ramp expectations for vendor sellers

Ensure vendor trainers can deliver readiness programs consistently and at scale

Design enablement for new products, pricing changes, process updates, and motion launches

Monitor ramp quality, certification performance, productivity curves, and early quality signals to identify risk early

Build dashboards, inspection mechanisms, and feedback loops that connect readiness to seller performance and quality outcomes

Partner with Vendor Managers, Sales Leadership, RevOps, Product, Program Management, and vendor leaders to diagnose and close execution gaps

Creating scalable knowledge systems and AI-enabled workflows that improve onboarding speed, knowledge retention, and readiness inspection

You might thrive in this role if you have:

8+ years of experience in sales enablement, readiness, onboarding, training operations, vendor enablement, or scaled commercial operations

Direct experience supporting outsourced sales teams, BPO environments, or large distributed sales organizations

Experience operating in software, SaaS, cloud, ads, or another high-velocity commercial environment

Proven ownership of onboarding, ramp quality, certification programs, and seller readiness outcomes

Strong understanding of sales funnel performance, quality frameworks, frontline coaching, and manager effectiveness

Executive presence, strong operational discipline, and the ability to influence vendor leaders and internal cross-functional stakeholders

Workplace &amp; Location

This role will be based in San Francisco, CA or New York City. Relocation will be required for this role if you are not located in either of these locations, and regular travel will be part of this role.

Compensation Range: $239K - $265K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinan]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud]]></skills>
    <expirationdate>2026-07-13T20:36:58.153Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Supply Chain Operations Program Manager, AI Infrastructure]]></title>
    <date>2026-05-14T20:01:34.357Z</date>
    <referencenumber>cmpgih04n02z4v2xqymb9y9v8</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/supply-chain-operations-program-manager-ai-infrastructure-d4a31cfb</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.
About the Role

We are seeking a Operations Program Manager (OPM) to serve as the single-threaded operational leader for new hardware introductions (NPI) and production ramps across OpenAI’s AI infrastructure systems.

This role combines hands-on execution with strategic ownership. You will be responsible for defining the operating model, aligning cross-functional stakeholders, setting the critical path, making informed tradeoffs, escalating decisively, and ensuring hardware programs deliver on schedule, quality, cost, and scalability.

Success in this role requires comfort operating in ambiguity, influencing without authority, and driving alignment across internal teams and external partners—while keeping eyes firmly on long-term system scalability and repeatability.
In this role, you will:

Strategic &amp; Leadership Ownership

Act as the single-threaded owner for operational readiness across NPI and ramp, accountable for outcomes from early bring-up through sustained production

Translate OpenAI’s infrastructure strategy and engineering objectives into clear operating plans, execution priorities, and decision frameworks

Drive alignment across Engineering, Operations, Strategic Sourcing, Finance, Capacity Planning, and Executive stakeholders by framing tradeoffs, risks, and recommendations

Proactively identify inflection points where decisions or investments are required to protect long-term scale, reliability, or cost targets

Influence operational strategy with manufacturing partners by setting expectations on execution rigor, accountability, and continuous improvement

Program Execution &amp; Operational Excellence

Drive overall NPI build readiness, including material accountability, manufacturing and test readiness, product data availability, factory infrastructure, and qualification plans

Lead transition activities from NPI to mass production, partnering closely with Sustaining Operations teams to ensure seamless ownership transfer

Translate engineering requirements into actionable, factory-ready plans with tier-1 manufacturing and integration partners

Lead cross-functional build and debug cadences; ensure issues are clearly owned, aggressively driven, and formally closed with root cause and prevention

Drive factory and deployment ramp readiness, including throughput, site readiness, yield targets, quality controls, and reliability gates

Own end-to-end risk management—identification, mitigation planning, escalation, and executive-level communication

Surface systemic bottlenecks, inefficiencies, or failure modes; propose and implement durable solutions across process, tooling, and organizational interfaces

Build, formalize, and scale repeatable operating mechanisms that enable predictable, high-velocity hardware development

Systems, Process &amp; Partner Leadership

Define requirements for operational systems (e.g., PLM enablement), and partner with internal teams to implement, test, and operationalize them

Establish clear scopes, roles, and responsibilities across internal teams and external partners to ensure clean execution boundaries

Build strong, trust-based relationships with contract manufacturers, OEMs, and integrators—driving accountability, performance, and transparency

Support onsite factory builds and field deployments as needed (domestic and international travel)
You Might Thrive in this role if:

8+ years of experience in Operations, Engineering, Program Management, or equivalent, within hardware development, manufacturing, or supply chain domains (compute, networking, datacenter, or similarly complex systems)

Proven track record leading complex hardware NPI programs end-to-end, from early bring-up through production ramp

Strong understanding of manufacturing and supply chain fundamentals, including BOM management, ECO/MCO processes, build readiness, factory test, quality controls, and material planning

Demonstrated ability to lead cross-functional teams, influence senior stakeholders, and drive decisions in ambiguous, time-compressed environments

Exceptional written and verbal communication skills, with the ability to distill complex issues for executive and external audiences

Preferred

Experience operating in hyperscale datacenter or large-scale infrastructure environments

Familiarity with supplier engagement models, build cost drivers, and NPI scaling tradeoffs

Technical background in server, rack, ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-13T20:01:34.357Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Supply Chain Program Manager (SCPM) - AI Infrastructure]]></title>
    <date>2026-05-14T19:00:14.175Z</date>
    <referencenumber>cmpgih30i03imv2xq2zf8smxa</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/supply-chain-program-manager-scpm-ai-infrastructure-726a1d08</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the Role

As a Supply Chain Program Manager, you will own material readiness and supply chain execution for critical hardware programs spanning custom silicon, systems, memory, storage, networking, and rack infrastructure.

You will work cross-functionally with Engineering, Strategic Sourcing, Manufacturing Operations, Finance, Planning, Quality, and external suppliers to develop and execute scalable supply strategies that support aggressive product development and deployment timelines.

This role requires deep understanding of hardware supply chains, material planning, NPI execution, supplier management, and operational scaling in constrained and rapidly evolving environments.

In this role you will:

Material Readiness &amp; Supply Planning - Own end-to-end material readiness across NPI and production phases, including building the necessary framework and processes for enablement.

Drive supply planning and execution for long lead-time and constrained commodities including ASICs, HBM, DDR, SSDs, networking, optics, power, thermal, and mechanicals.

Build and manage material readiness plans aligned to proto/pre-EVT, EVT, DVT, PVT, and mass production schedules.

Monitor supply health, lead times, inventory positions, allocation risk, and capacity constraints.

Drive shortage management, allocation mitigation, and recovery planning.

Coordinate supply commits, forecast alignment, and supply continuity planning with suppliers and manufacturing partners.

Cross-Functional Program Management - Partner with Engineering to translate product requirements into executable supply chain strategies.

Drive alignment across Strategic Sourcing, Commodity Management, Manufacturing Operations, Finance, Quality, and Planning teams.

Coordinate with ODMs, CMs, and suppliers on material schedules, build readiness, and operational execution.

Lead material reviews, supply risk assessments, and executive-level program updates.

Establish governance models and operating cadences across internal and external stakeholders.

Supplier &amp; Manufacturing Partner Management - Work closely with suppliers and manufacturing partners to manage supply continuity and operational readiness.

Drive supplier accountability around lead times, commits, recovery plans, and escalation management.

Support commercial negotiations through operational and supply chain insights.

Coordinate material flow strategies across suppliers, hubs, manufacturing sites, and deployment locations.

Evaluate second-source and supply resiliency strategies.

Process &amp; Operational Scaling - Develop scalable material planning and execution mechanisms.

Improve forecast management, supply visibility, exception handling, and inventory planning processes.

Build dashboards and KPI frameworks for supply readiness, shortages, inventory exposure, and operational health.

Drive continuous improvement initiatives across supply chain execution and operational processes.

You might thrive in this role if you have:

Bachelor’s degree in Supply Chain, Engineering, Operations, Business, or related field.

8+ years of experience in Supply Chain Program Management, Material Program Management, Commodity Management, Strategic Sourcing, or related hardware supply chain roles.

Experience supporting complex hardware products through NPI and production ramps.

Strong understanding of hardware supply chains, material planning, and supplier operations.

Experience managing constrained supply environments and long lead-time commodities.

Experience working with ODMs, CMs, and global supplier ecosystems.

Strong analytical, program management, and executive communication skills.

Ability to drive cross-functional alignment in ambiguous and fast-moving environments.

Preferred Qualifications

Experience supporting AI/ML infrastructure, servers, networking, storage, or custom silicon programs.

Experience with ASIC supply chains, advanced packaging, HBM/DDR memory ecosystems, or hyperscale infrastructure deployments.

Familiarity with ERP/MRP/PLM systems, BOM structuring, and supply planning tools.

Experience building supply resiliency and second-source strategies.

Experience operating in highly constrained and rapidly scaling environments.

To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.
]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ML Infrastructure]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ML Infrastructure]]></skills>
    <expirationdate>2026-07-13T19:00:14.175Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[GTM Growth Product Manager, Agentic Systems]]></title>
    <date>2026-05-14T18:39:08.909Z</date>
    <referencenumber>cmpgih30w03iov2xq3vclq7zr</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/gtm-growth-product-manager-agentic-systems-784afb30</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team 

As part of the GTM Growth team, you'll be at the forefront of bringing OpenAI's technology to the world. This team works on high-impact projects that aim to amplify our global user base and drive the long-term growth of our products through data analysis, value creation, and experimentation. We aim to make our innovative tools universally accessible, transcending geographic, economic, or platform barriers.

About the Role

We’re looking for an experienced product manager to join our GTM Growth team. Your mission will be to build the internal products, internal and external workflows, and AI capabilities that help our GTM organization scale with greater speed, intelligence, and operational excellence.

You’ll own the roadmap for a portfolio of GTM systems and AI-powered tools, spanning lead capture, prioritization, routing, attribution, sales productivity, data movement, and revenue workflows. You’ll work closely with GTM leaders, operators, data teams, designers, and engineering to turn ambiguous business problems into reliable, scalable products.

This is a high-impact role for someone who loves working at the intersection of product, systems, AI, and go-to-market strategy.

In this role, you will:

Deeply understand problems faced by GTM teams and customers, and identify opportunities where AI systems can make buying and adopting our technology faster and more intuitive.

Define and drive the product vision and roadmap for a portfolio of GTM AI systems

Build AI-powered products that improve pipeline generation, seller productivity, account prioritization, routing, attribution, and GTM execution

Translate GTM strategy and operational needs into scalable product capabilities, PRDs, success metrics, and engineering priorities

Lead cross-functional execution across engineering, vendors, systems owners, and business stakeholders

Improve the data foundations behind GTM systems, including entity resolution, enrichment, scoring, and data movement.

Use experimentation, metrics, and customer feedback to measure impact on pipeline quality, conversion, sales efficiency, and revenue execution

Drive adoption and change management for new GTM capabilities across distributed teams

You might thrive in this role if you:

Have 8+ years of product management experience across agentic systems, GTM systems, enterprise SaaS, revenue technology, or AI workflow products

Have strong fluency in modern GTM systems such as Salesforce, marketing automation, lead-to-quote, enrichment, routing, attribution, billing, or customer lifecycle tools

Are strong at cross-functional influence, driving strategic alignment, and executive communication.

Are highly analytical and comfortable defining KPIs, running experiments, and using data to prioritize product investments

Thrive in ambiguous, fast-moving environments where the first version of the strategy needs to be shaped, tested, and improved quickly

Workplace &amp; Location

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Occasional travel will be required.

Compensation Range: $239K - $265K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, c]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Operators]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Operators, Product Management, Salesforce]]></skills>
    <expirationdate>2026-07-13T18:39:08.909Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Analyst, Trust & Safety]]></title>
    <date>2026-05-14T17:10:53.257Z</date>
    <referencenumber>cmpgih4kj03kev2xq1wucs7qr</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/data-analyst-trust-safety-acc869d1</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Americas / Remote / Full-time]]></city>
    <country>ES</country>
    <description><![CDATA[Email is unlike any other medium in the world. With just an address, anyone can talk to anyone, no matter their location, status, or class. It’s democratized access, it’s a sacred privilege, and it’s worth protecting at all costs.

Resend is building the most accessible email platform for developers. As we’ve grown to 2M+ users and continue to onboard thousands of new users every day, the pressure of maintaining a safe place for good senders continues to build up.

As the first Data Analyst on our Trust &amp; Safety squad, you will wear many investigative hats— identifying abuse patterns, analyzing behavioral signals, and developing scalable detection systems that prevent harmful users and enable good senders and scale.

In this role, you will…Root-cause investigations of unexpected events or spikes

Deeply understand and stay up to date on email abuse vectors and trends

Define, instrument, and monitor key metrics: time to detect, false-positive rate, coverage, enforcement latency

Build dashboards and reports for real-time and historical visibility into behavior and policy violations

Analyze signal effectiveness: precision, recall, drift, overlap, etc

Work with data engineering to shape data pipelines (ensuring data correctness, coverage, freshness)

Partner with engineering &amp; ops to A/B test rule changes, evaluate trade-offs, and iterate

Who You Are...3+ years in data or analytics roles (ideally in security, fraud, or trust and safety)

Fluent in SQL + data tooling (e.g. Looker, Mode, Metabase, BI)

Comfortable working with large event/data sets

Strong sense of measurement: you build metrics that drive decisions

Good communicator—can explain nuanced analytics to non-data folks

You thrive in ambiguity, can build frameworks out of thin air

Experience with estimation, sampling, statistical validation

Familiarity with prediction and classification models

Comp: $105,000 - $145,000 USD, commensurate with experience

Learn more about how we work in Trust and Safety:https://resend.com/philosophy

Trust &amp; Safety investment blog post

https://resend.com/handbook/success/what-is-our-philosophy-for-anti-abuse

https://resend.com/handbook/engineering/what-is-our-tech-stack

About ResendWe are building the modern email sending platform for developers. We care deeply about quality, craft, and the developer experience.

Our fully remote team of 45 spans 13 countries and counting. We're backed by a16z, Y Combinator, and others. Meet the humans →]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[SQL]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[SQL, Looker]]></skills>
    <expirationdate>2026-07-13T17:10:53.257Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Counsel, AI Product]]></title>
    <date>2026-05-14T16:39:30.661Z</date>
    <referencenumber>cmpgih19n036mv2xqpvjevivg</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-counsel-ai-product-23e877ce</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax law, regulatory, and litigation.

About the Role

As a member of our AI Product Counsel team, you will assist with legal initiatives related to our advanced AI products, models, and technologies. This role is highly cross-functional across OpenAI with a focus on advising product teams on the cutting edge of AI model and product developments, in areas that may span across ChatGPT and Codex, including agentic work, search, commerce, and multimodal outputs.This is a unique opportunity to engage directly with the forefront of the legal and AI fields. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Be the go-to counsel and partner for several teams focused on frontier AI models and products.

Identify and address product, regulatory, copyright, commerce, privacy, and other legal risks and mitigations, including for agentic, commerce, and multi-modal experiences.

Develop strategies for handling legal issues in creative ways and build processes for scaling flexible solutions that address risk.

Serve as an expert in AI legal matters and help propose and advance AI legal policy positions.

You’ll thrive in this role if you:

Have 10+ years of experience with a mix of in-house or technology-focused law firm roles.

Understand the letter of the law and can approach problems in a practical, principled approach.

Build cross-functional relationships and communication styles that resonate with teams to balance risk-taking with responsible development.

Have a strong sense of ownership, are inquisitive and enthusiastic about technology, enjoy being continually challenged, and can demonstrate sound judgment in ambiguous situations.

Have a JD and license or qualification to practice in CA.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, Codex]]></skills>
    <expirationdate>2026-07-13T16:39:30.661Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Data Engineer, Core Experimentation]]></title>
    <date>2026-05-14T16:24:02.877Z</date>
    <referencenumber>cmpgih2yx03icv2xqfbvsncns</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-data-engineer-core-experimentation-53b0f2fe</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Seattle]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products.

Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions,  and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics.

We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era.

About the role:

We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!

In this role, you will:

Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.

Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.

Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.

Implement robust and fault-tolerant systems for data ingestion and processing.

Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.

Ensure the security, integrity, and compliance of data according to industry and company standards.

You might thrive in this role if you:

Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).

Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.

Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).

Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.

Solid understanding of Spark and ability to write, debug and optimize Spark code.

This role is based in Bellevue. We use a hybrid work model and value in-person collaboration for technical design, iteration, and cross-functional partnership.

Compensation Range: $293K - $325K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and pr]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, Python, Scala, Java, ETL, Airflow]]></skills>
    <expirationdate>2026-07-13T16:24:02.877Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Partner Solutions Architect - AWS]]></title>
    <date>2026-05-14T14:05:22.298Z</date>
    <referencenumber>cmpgih6fi03myv2xquzc2hq2v</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/platform-evangelist-aws-0892eaa8</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[AMER]]></city>
    <country>ES</country>
    <description><![CDATA[Partner Solutions Architect - AWS

About SupabaseSupabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

Supabase is a validated AWS partner building toward a structured multi-year partnership, and we're just getting started. AWS SAs are talking to thousands of customers who need exactly what we build—a full backend platform with Postgres at the core—without the vendor lock-in. This is an opportunity to get Supabase in front of the right SAs and make us the default recommendation for a modern backend.

  About the RoleWe’re looking for a Platform Evangelist to join our Partnerships Team and help embed Supabase into the global AWS Solutions Architect community. This role reports directly to the Alliance Lead for the AWS partnership.

You’ll work closely with AWS Solutions Architects, helping us proactively identify customer problems where Supabase is the right solution and closing the gap between partner intent and real customer outcomes. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions.

  What You’ll Be Responsible ForIn this role, you’ll focus on three core pillars:

Technical Evangelism &amp; EducationBuild deep relationships with AWS Solutions Architects, focusing initially on defined verticals and open-source database migration motions.

Develop and deliver technical workshops, training materials, and enablement content to give AWS SAs the fluency to position Supabase.

Create demos, integration guides, and reference architectures that make Supabase’s fit with AWS services immediately legible.

Partner with AWS SAs on active opportunities, providing technical support to move deals forward and feeding pipeline intelligence back to the alliance.

Technical Support &amp; EnablementResolve blockers for AWS SAs working on Supabase implementations to maintain their credibility with customers.

Troubleshoot complex integration scenarios and turn solutions into reusable assets.

Maintain a close feedback loop with Supabase product and engineering teams to ensure technical guidance reflects the latest platform capabilities.

Measure success through co-sell opportunities sourced (ACE pipeline), influenced deals, and SA enablement metrics.

Content Creation &amp; Thought LeadershipWrite technical blog posts and case studies that demonstrate real-world Supabase implementations.

Represent Supabase at conferences, meetups, and AWS-sponsored events (e.g., re:Invent and regional summits).

Develop video content and interactive learning experiences to reduce the "time-to-fluency" for AWS SAs.

  You Might Be a Good Fit If YouHave 5+ years of experience in technical roles with deep hands-on AWS experience. Previous experience working at AWS or as an AWS partner is required.

Understand AWS SAs' incentives, how they make recommendations, and how the partner ecosystem influences decisions.

Communicate clearly across both technical and non-technical audiences, explaining complex concepts with ease.

Have a strong technical foundation in PostgreSQL, APIs, and modern development frameworks like React and Next.js.

Are comfortable navigating ambiguity and moving quickly to build a playbook from scratch.

Are energized by solving real-world problems for developers.

 What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use i]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[AWS]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[AWS, Postgres, Vector Search, PostgreSQL, APIs, React, Next.js]]></skills>
    <expirationdate>2026-07-13T14:05:22.298Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Manager, EU Government Affairs]]></title>
    <date>2026-05-14T12:00:17.837Z</date>
    <referencenumber>cmpgignfk02l4v2xqbs523yc5</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-manager-eu-government-affairs-a4518f7d</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Brussels]]></city>
    <country>ES</country>
    <description><![CDATA[We are seeking a dedicated and dynamic candidate to join Spotify’s EU Government Affairs team in Brussels as Senior Manager - EU Government Affairs. 

The Government Affairs team is charged with understanding the global and local policy landscape in relation to Spotify’s business objectives and advocating on the company’s behalf on critical public policy issues. We represent the company before legislators and regulators, interact with civil society and industry, see around corners, and mitigate potential risks.

In this role you will be an active member and will provide advice and external advocacy on policy matters that have an impact on Spotify in Europe. You will report to our Senior Director of European Policy and will be based in our Brussels office.

What You'll Do 

Engage regularly with EU policymakers including the Commission, Parliament, Council, and policymakers at national level 
Work on the priority public policy issues affecting Spotify in the EU - with a focus on platforms and content regulation, consumer rules, as well as trade and tech regulation in general. You will be responsible for managing these files and developing and implementing effective advocacy strategies. 
Work closely with other groups and departments inside Spotify -- including legal, licensing, communications, social impact, compliance and trust and safety -- to understand the priorities of internal partners, and create approaches to key policy issues that advance the interests of Spotify
Develop engagement and partnerships with external organizations such as trade associations and civil society organizations 

Who You Are 

10+ years of experience in EU government affairs, for a government/public authority, a company, and/or a trade association
Expertise on regulatory issues, especially in the field of platform and consumer regulation
Excellent understanding of tech sector and policy, and ability to rapidly understand and master complex policy issues
Mastering of AI tools, such as Claude, Chat GPT, Gemini
Strong written and oral communications skills &amp; attention to detail
Ability to work with a cross section of stakeholders, including trade associations, companies, civil society
Ability to work independently, across time zones and cultures 
Full English language proficiency is required
Knowledge of an additional EU language (e.g. Dutch, Polish) is a positive asset 

Where You'll Be
This role is based in our Brussels offices
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 days per Week.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-13T12:00:17.837Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Full Stack Engineer - WhoSampled]]></title>
    <date>2026-05-14T09:51:13.565Z</date>
    <referencenumber>cmpgignap02k6v2xqnm62j6jp</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-full-stack-engineer-whosampled-734122f6</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[Every great song has a story behind it: a sample flipped into something new, a melody borrowed and reborn, a classic reinterpreted for a new generation. WhoSampled is where those stories live.

WhoSampled is the world's leading database of music samples, interpolations, cover songs, and remixes. Built over more than a decade by a passionate community of over 40,000 contributors, and verified by a dedicated team of moderators, it's become the definitive archive of music's creative lineage — visited by millions of fans each year. In late 2025, WhoSampled joined Spotify, powering SongDNA: a new experience that lets listeners explore the samples, covers, and interpolations woven into the music they love.

We're a small team with an outsized impact, and we're growing. As a Senior Fullstack Engineer, you'll be one of the first engineering hires into this team — a genuine opportunity to shape how WhoSampled evolves as a standalone product and as a foundational layer within Spotify's ecosystem.

As a small team, our work spans across the stack: you’ll work as much on data pipelines and backend APIs as you will on our web app. The ideal candidate is a generalist at heart — someone who's equally at home writing a Django view, tuning a PostgreSQL query, or shipping a UI improvement, and someone who gets results without waiting for someone else to own adjacent layers.

What You'll Do

Build and maintain across the stack: Contribute to backend services, APIs, data pipelines, and where needed, frontend interfaces, embracing Spotify's infrastructure patterns and continuing making WhoSampled the industry-leader in showcasing the story behind the music.
Improve metadata matching: Evolve how WhoSampled's database is matched to Spotify's catalog, moving beyond heuristics toward ML-assisted approaches, including entity resolution and LLM-powered disambiguation. Better matching means more of WhoSampled's archive surfaces meaningfully within Spotify.
Drive infrastructure modernisation: Lead meaningful infrastructure work that brings WhoSampled onto more robust, scalable foundations, working closely with Spotify's platform and security stakeholders.
Take end-to-end ownership: Design, build, ship, and operate. You're accountable for the reliability and performance of the systems you own, and proactive about improving them.
Be AI-forward: Bring AI tooling into your engineering practice; whether for data quality, matching, operational automation, or developer productivity.

Who You Are

Strong experience building production software, with depth in at least two of: backend services, frontend web, data systems, or infrastructure — and enough exposure to the others to move between them without stalling.
You are comfortable moving between languages and stacks. You're strong in Python (ideally with Django experience) and Java. Our Django codebase is where the current product lives, and new services may go out in Java.
You have production experience with Postgres — schema design, query tuning, and knowing when to reach for something else. Familiarity with ElasticSearch is a plus; you'll be tuning clusters with us, not from scratch.
You have modern web app experience with TypeScript and React. You've shipped user-facing features, not just prototypes.
You are comfortable with the production stack: Linux, GCP (or equivalent cloud), networking fundamentals, and a real sense of what it takes to keep a system reliable under load.
You thrive with ambiguity and ownership. You move forward without perfect specs, make well-reasoned calls with limited oversight, and know when to stop and ask.
You are practical about AI. You already use it to automate toil, improve data quality, and ship faster — and you have opinions about where it helps and where it doesn't.
You care about craft. Clean, testable code; documentation the next person can actually use; systems you'd be happy to hand off.

Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location
This team operates within the Central European and GMT time zone for collaboration.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application o]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[APIs]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[APIs, PostgreSQL, Python, Java, Postgres, TypeScript, React, Linux, GCP, Cloud]]></skills>
    <expirationdate>2026-07-13T09:51:13.565Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Developer Experience Engineer (Mandarin-Speaking)]]></title>
    <date>2026-05-14T06:48:13.657Z</date>
    <referencenumber>cmpgih2xv03i6v2xqhoh8bspp</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/developer-experience-engineer-mandarin-speaking-ac1ac4c3</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

The Developer Experience team at OpenAI has a singular focus: empowering developers globally. Our mission is to provide every developer and startup on the planet with the most delightful and seamless experience to integrate AI into their applications and products. We ensure developers have the tools, resources, and support they need to unlock AI’s full potential.

We create inspiring demos, developer tools, sample applications, and technical content that show developers how to build with Codex and frontier models like GPT-5.5 and GPT-Image-2 to create powerful agents and AI-native applications.

We collaborate closely with product, engineering, research, and GTM teams to ensure the developer journey, from onboarding with Codex to first API call to production deployment, is seamless, effective, and delightful.

About the Role

As a Developer Experience Engineer, you will create compelling technical content, developer tools, and sample applications designed to inspire developers and enable them to succeed with Codex and OpenAI’s APIs and products for developers.

You will engage with developers and technical founders, demonstrating best practices and building innovative applications powered by frontier models, multimodal capabilities, and tools like Codex.

We’re looking for people who combine strong technical skills, creativity, and a passion for engaging with and empowering developers.

In this role, you will:

Develop demos and sample applications that showcase best practices for building with Codex, frontier models, multimodal capabilities, and agents.

Create high-quality technical content, including tutorials, blog posts, videos, and code samples, to educate and inspire the developer community about our models, APIs, and Codex.

Actively engage with and foster a vibrant Singapore and global developer ecosystem around OpenAI's platform and products.

Represent OpenAI at developer events and online, serving as a knowledgeable and approachable advocate for developers.

Gather and synthesize developer feedback to inform and improve our product roadmap.

Collaborate cross-functionally with product, engineering, and marketing teams to drive adoption and success across OpenAI's developer products, including Codex and our APIs.

Contribute directly to improving and refining OpenAI's developer products, interfaces, and surfaces.

Own challenges end-to-end, proactively closing gaps and developing new skills to solve complex problems.

Travel across APAC up to ~30% of the time to meet developers, support events, and build local communities.

You might thrive in this role if you:

Are passionate about crafting exceptional developer experiences and creating inspirational technical content and projects.

Bring a robust full-stack engineering background with demonstrated experience building innovative applications using AI and large language models (LLMs).

Mandarin language skills as the role will also cover clients and communities that  are Mandarin-speaking.

Have strong user empathy and care deeply about delivering experiences developers truly appreciate.

Have a proven track record of successfully creating engaging technical content, compelling demos, or innovative developer tooling that accelerates technology adoption.

Find joy in coding, continuously shipping high-quality, impactful software.

Excel in dynamic environments characterized by rapidly evolving priorities, ambiguity, and competing deadlines.

Are an exceptional collaborator who thrives working cross-functionally and enjoys partnering with diverse teams.

Maintain a genuine commitment to AI ethics and safety, strongly aligning with OpenAI's responsible AI development principles.

Stay deeply current on OpenAI's latest developer products and offerings, including Codex, APIs, and frontier models, and translate that fluency into useful demos, content, and developer guidance.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, APIs, LLMs, Excel]]></skills>
    <expirationdate>2026-07-13T06:48:13.657Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Account Director, Digital Natives Growth]]></title>
    <date>2026-05-14T01:27:51.340Z</date>
    <referencenumber>cmpgih2x703i2v2xq3ckh3zfq</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/account-director-digital-natives-growth-32276d85</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the team

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy.

You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you'll:

Manage a portfolio of customer accounts, developing and executing strategies for a comprehensive account plan

Support your customer accounts from initial engagement to successful deployment, expansion, and through to renewal

Develop new and existing accounts through pipeline generation, discovery, evaluation, and successful adoption

Partner with solutions and research engineering to build and execute complex customer programs and projects

Own a revenue target

Manage revenue forecasts

Analyze key account metrics to create reports and provide insights to internal and external stakeholders

Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies

Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering

Support the recruitment and onboarding of other teammates

Support the development of company culture

We're seeking someone with experience including:

8+ years selling and renewing platform-as-a-service and/or software-as-a-service

Managing and growing customer relationships across the full lifecycle

Developing accounts from early sales stages through successful deployment

Designing and executing complex deal strategies

Working directly with c-level executives

Communicating technical concepts to customers and internal stakeholders

Gathering, distilling, and processing complex market, industry, competitor, customer, and prospect intelligence

You might thrive in this role if you:

Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor.

Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future.

Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision.

Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions.

Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy.

Compensation Range: $290K - $290K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Product Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Product Management]]></skills>
    <expirationdate>2026-07-13T01:27:51.340Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Datacenter NetDeploy Lead - Stargate]]></title>
    <date>2026-05-14T00:08:20.806Z</date>
    <referencenumber>cmpgih0zv034uv2xqj4m9wnbg</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/datacenter-netdeploy-lead-stargate-993ed431</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote - US]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. This team defines and executes our core infrastructure strategy. From site selection through full buildout, we sit at the intersection of commercial, technical, strategy, and operations, partnering closely with internal teams and external stakeholders.

About the Role

We are seeking a Datacenter NetDeploy Lead to own the end-to-end execution of physical network deployments in data center environments. This role bridges Network Engineering, Capacity Delivery/Construction, Data Center Engineering, and Operations to ensure network infrastructure is installed, validated, and formally handed over in a production-ready state. The NetDeploy Lead is accountable for vendor execution, schedule delivery, quality standards, and in-field issue resolution, while maintaining strict alignment to documented standards, ticketing, cleanliness, and escalation protocols.

Key Responsibilities

Lead full lifecycle physical network deployments for new builds, expansions, and refreshes.

Translate network topologies, cabling designs, and BOMs into executable field plans and sequencing.

Oversee and/or coordinate rack-and-stack of network equipment (switches, OOB, ancillary network systems).

Oversee and/or coordinate fiber trunk pulls, routing, and termination to patch panels / equipment.

Oversee and/or coordinate patch panel installation, patching, labeling, and cable management.

Drive port-to-port verification, continuity testing, and validation sign-off.

Ensure work follows documented standards and runbooks (tables, tickets, checklists, cleanliness, escalation).

Develop the systems, processes, and tools to enable deployment and maintenance of deployed systems.

Source, evaluate, and manage vendors across structured cabling, JIT fiber remediation, rack-and-stack/patching teams, and testing/verification support.

Define scope, develop SOWs, validate pricing, and manage execution to contract terms; track vendor performance against quality, throughput, safety, schedule, and documentation requirements; drive corrective actions when vendors miss standards.

Partner with Network Engineering to resolve field issues and deployment constraints (wrong switch delivered, substitutions, component failures, damaged gear; installation blockers and design/port mapping discrepancies; sequencing changes to maintain schedule).

Partner with Data Center Engineering to align deployments to approved physical network infrastructure designs; verify fiber routing diversity and pathway separation; enforce installation standards for routing, labeling, and cable administration; resolve field constraints that would force deviations from design intent.

Partner with Capacity Delivery / Construction / Facilities to gain site access and coordinate logistics/staging; ensure pathways, trays, penetrations, and build readiness for trunk pulls; align fiber completion to rack/machine placement milestones.

Partner with Operations for handover: confirm install is complete/validated/documented; ensure as-builts, labeling, port maps, and test evidence are delivered; execute formal ownership transfer so Ops can maintain/operate the network.

Build and manage deployment schedules, sequencing plans, and milestone tracking; forecast labor needs, vendor ramp, and critical path dependencies.

Track cost drivers (labor, materials, change orders) and manage contract burn.

Identify risks early and drive mitigation plans to protect turn-up dates.

Enforce adherence to deployment standards (labeling, patching, cleanliness, cable management), ticket-driven execution/closure, escalation protocols, change management, and documentation deliverables (as-builts, port maps, test results) to ensure installs are repeatable, auditable, and ready for operations at scale.

Qualifications

10+ years of experience in data center network deployment / infrastructure delivery.

Strong understanding of data center network topologies (leaf/spine, core/aggregation, etc.).

Strong understanding of network components, BOMs, racking constraints, and deployment sequencing.

Strong understanding of fiber/structured cabling practices (trunks, panels, terminations, cleaning, testing).

Demonstrated vendor management experience, including SOWs and execution oversight.

Proven ability to coordinate across engineering, construction/capacity teams, and operations.

Strong scheduling, risk management, and delivery accountability in the field.

Preferred Skills

Hyperscale / multi-site / high-throughput deployment experience.

Familiarity with structured cabling standards (e.g., BICSI, TIA/EIA) and test methodologies.

Experience working in ticket-based operational environments (change control, incident escalation).

Exposure to network deployment validation tooling and/or automated evidence capture.

About OpenAI

OpenAI is an AI research and deployment company dedic]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[JIT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[JIT, Logistics]]></skills>
    <expirationdate>2026-07-13T00:08:20.806Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Recruiting Coordinator]]></title>
    <date>2026-05-13T23:49:44.971Z</date>
    <referencenumber>cmpgihjf803qev2xqxndhpkg1</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/recruiting-coordinator-fd653253</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the RoleAs a Recruiting Coordinator at Cursor, you'll be the person who makes candidates feel genuinely welcomed through every interaction, and the person our hiring teams rely on to keep everything running like clockwork. You'll be part scheduling tetris wizard, part host, and part operations builder.

This is an opportunity to be part of building something from the ground up. The team you help hire today will shape what Cursor becomes. This role is for you if you love the satisfaction of getting things done quickly, thrive in environments that are fluid and constantly evolving, obsess over learning new things, and enjoy meeting and interacting with new people.

We're in-person in our cozy offices in the heart of Soho. 

What You'll DoOwn the full scheduling experience including interview coordination so every candidate and interviewer shows up informed, prepared, and on time.

Host candidates onsite and create an experience that's warm, human, and memorable while adapting to different personalities and making everyone feel at home.

Keep candidates and hiring teams in the loop throughout the process with timely, warm, and clear communication.

Partner closely with recruiters, interviewers, and hiring managers to anticipate needs, solve problems in real time, and keep things moving.

Keep our ATS (we use Ashby) accurate and up to date so nothing falls through the cracks.

Constantly finding and executing on opportunities to improve how we operate.

You may be a fit ifHave 2-4+ years in a recruiting coordinator, recruiting operations, or similar role in a fast-paced technical environment.

Obsess over the details. You’re the kind of person who triple-checks the calendar invite timezone before hitting send.

See inefficiency as a personal challenge. You take initiative, own your work, bring new ideas without being asked, and use good judgement to execute on improvements.

Care deeply about the experience of everyone in the process: the candidate who flew across the country to meet the team, the hiring manager trying to make the right hiring decision, the interviewer running from back-to-back meetings, and you care about making it great for all of them.

Stay calm and focused while holding many moving pieces together.

People describe you as incredibly reliable and responsive.

Genuinely love meeting new people and have a natural warmth that puts people at ease, whether they're introverted or extroverted.

Comfortable handling confidential information with discretion.

Bonus: experience with Ashby is a plus.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cursor]]></skills>
    <expirationdate>2026-07-12T23:49:44.971Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Support Delivery Lead, EMEA - Dublin]]></title>
    <date>2026-05-13T21:53:23.312Z</date>
    <referencenumber>cmpgih2zt03iiv2xq2476s2ox</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/support-delivery-lead-emea-dublin-f784c0b1</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Dublin]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role:

We are looking for a leader to build and scale our Support Engineering team, which will collaborate directly with our strategic enterprise accounts, our product and engineering teams, as well as our field teams to solve some of the most difficult technical problems faced by our customers. You will lead one of the best technical troubleshooting teams at OpenAI, and our customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Working directly with our most strategic customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI platform.

This team will handle high difficulty situations and issues. The team will be global, providing 24x7 technical coverage for our customers. This will be an opportunity to build this new team from first principles - your leadership will determine the future of this organization.

The ideal candidate will have a combination of technical capabilities mixed with strong leadership and systems building strength.

This role is based in Dublin. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

Key Responsibilities:

Build and lead a team of the foremost technical and troubleshooting experts at OpenAI. You are the last line of defense before the core Engineering team.

Partner with engineering and customer teams to build out our systems to ensure that we resolve escalated issues. You will engage with senior leaders internally or with customers and coordinate resources across multiple teams as needed.

Take learnings from resolving customer issues and operationalize those solutions at scale, iterating on internal processes with Engineering/Go-To-Market/vendor partners, influencing product roadmaps, and improving overall customer experience with support.

Manage scaling and operations of the team in order to deliver 24x7 coverage globally, including holidays and weekends based on business needs.

Build strong relationships with our customers to ensure their application’s success.

Ensure the team is assisting broadly where needed beyond the ‘core remit’ of the team

Be a part of the broader leadership team in Support. You will have the opportunity to build not just within this team, but across the organization.

Qualifications:

Have 7+ years of experience leading technical support engineering or software engineering teams, ideally in high-scale or fast-paced environments.

Have 12+ years of experience in technical support engineering or software engineering

Have experience leading highly skilled engineering teams and are comfortable empowering senior ICs while setting a clear technical and operational direction.

Bring deep technical experience in application development or infrastructure, paired with a strong instinct for operational systems and customer reliability.

Are a strong cross-functional partner with a proven ability to influence engineering and product roadmaps through support-driven insights.

Take an automation-first approach and have a track record of implementing tooling or processes that scale support impact through AI and systems thinking.

Thrive in ambiguous environments and balance strategic leadership with a willingness to get into technical details when needed.

Are energized by customer impact and excel at building trust with strategic accounts during critical issues or periods of transformation.

Are mission-driven, collaborative, and operate with high integrity and humility.

#LI-NM2

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, a]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Excel]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Excel]]></skills>
    <expirationdate>2026-07-12T21:53:23.312Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Model Policy]]></title>
    <date>2026-05-13T19:20:29.428Z</date>
    <referencenumber>cmpgih2yk03iav2xqrs7yznf7</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/model-policy-11ed7ae0</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Our Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.

Within Safety Systems, the Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety.

About the Role

If you have a specific expertise or speciality related to this work, please note it in your application via your resume, cover letter or application note.

Frontier AI systems are expanding what people can do across domains, creating both enormous opportunities and difficult safety questions: when should a model help, when should it refuse, and how do we make those boundaries clear enough to train, evaluate, and enforce?

In this role, you will help define how OpenAI’s models should behave in high-risk or high-ambiguity contexts, such as agentic systems, multimodal systems, user safety, privacy, and other emerging risk domains.

This is an ideal role for someone who can move across unfamiliar topics, reason from first principles, and turn ambiguity into practical model behavior. You will work closely with research, engineering, product, preparedness, and operations teams to build policies that are technically grounded, measurable, and responsive to real-world risk.

In this role, you will:

Design and maintain model policies across safety-relevant domains, including dual-use, agentic, and emerging frontier-risk areas.

Translate risk and harm models into clear behavioral specifications, evaluation criteria, grading guidance, and system-level safeguards.

Define practical boundaries between beneficial uses of AI and assistance that could materially enable harm, exploitation, misuse, or unsafe outcomes.

Build policy artifacts that support model training, evaluation, and deployment.Partner with safety researchers, engineers, product teams, and other stakeholders to operationalize policy into scalable model behavior and measurable safeguards.

Use red-teaming results, deployment data, model failures, over-refusals, under-refusals, and ambiguous edge cases to improve policy and evaluation quality over time.

Identify emerging capability areas where frontier AI systems could create new safety challenges or lower barriers to harm.

Study real-world deployments to identify where model behavior succeeds, fails, or drifts from the intended safety posture.

Combine longer-horizon safety research with hands-on launch and deployment work.

Contribute to system cards, safety reports, policy documentation, launch reviews, and external communications on OpenAI's approach to model safety and risk mitigation.

Design and run human data campaigns, including gold set construction, labeling guidance, calibration, adjudication, and eval coverage analysis, to ensure policies can be reliably measured and improved.

You might thrive in this role if you:

Have strong judgment about how advanced AI systems may affect real-world risk, especially in ambiguous, fast-moving, or high-impact areas.

Have experience building or applying policies, taxonomies, harm models, threat models, or risk frameworks for complex technical, social, or adversarial systems.

Can move across domains without needing to be the deepest subject-matter expert in every area, while knowing when to seek expert input.

Can turn fuzzy questions into structured policy frameworks, evaluation criteria, operational guidance, and enforceable model behavior.

Are comfortable using empirical evidence, including evaluations, red-teaming results, deployment observations, and model failure modes, to inform policy decisions.

Think in systems across policy, data, graders, classifiers, training, deployment safeguards, measurement, monitoring, and escalation workflows.

Have technical judgment about what model behavior can realistically be trained, measured, evaluated, and enforced at scale.

Work well across research, engineering, product, policy, domain experts, and operational teams.

Write clearly about complex tradeoffs where safety, user value, and implementation constraints all matter.

Take a pragmatic approach to safety, focused on reducing real-world risk while preserving legitimate, beneficial, and socially valuable uses of AI.

Enjoy fast-paced, collaborative research environments where priorities shift as models, evidence, and risks change.

Stay grounded in implementation details, empirical results, and what can actually be trained or measured.

Our relevant publications:

Accelerating the cyber defense ecosystem that protects us all

Trusted Access

Safety at every step

Safety evaluations hub

OpenAI GPT5.5 System Card

Improving Model Safety Behavior with Rule-Based Rewards

OpenAI Model Spec

Workplace &amp; Location

This role is based in our San Francisco ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-12T19:20:29.428Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Scientist, Core Experimentation]]></title>
    <date>2026-05-13T17:46:00.803Z</date>
    <referencenumber>cmpgih2uz03hmv2xqyf1li2zk</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/data-scientist-core-experimentation-9e3d8e92</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Seattle]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products.

Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions,  and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics.

We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era.

About the Role

We are hiring a Staff-level Data Scientist to help lead the evolution of OpenAI’s core experimentation platform. This role is focused on improving the statistical rigor, reliability, and practical usability of experimentation across the company.

You’ll work on some of the hardest problems in online experimentation: sample ratio mismatch detection, variance reduction, bias mitigation, metric design, triggered analysis, heterogeneous treatment effects, sequential testing, and experimentation in complex ML systems. You’ll also help translate advanced statistical concepts into pragmatic systems and product experiences that teams can actually use.

This is a highly technical individual contributor role with significant influence across methodology, platform architecture, and experimentation best practices. The ideal candidate combines deep statistical expertise with strong systems intuition and hands-on experience building or operating experimentation platforms at scale.

In this role, you will:

Drive the statistical direction and technical strategy for OpenAI’s experimentation platform

Design and improve experimentation methodologies used across product and research teams

Build pragmatic solutions to real-world experimentation challenges, balancing rigor with operational simplicity

Improve the reliability and trustworthiness of experiment results, including detection and prevention of bias, logging issues, and data quality failures

Developscalable analytical systems and pipelines in Python and distributed compute environments

Partner with engineers and product teams to improve experiment design, metric quality, and decision-making practices

Lead investigations into complex experimentation anomalies and measurement failures

Establish best practices for experimentation governance, interpretation, and statistical correctness

Mentor other data scientists and raising the overall technical bar for experimentation and causal inference

You might thrive in this role if you have:

Experience building, scaling, or operating experimentation platforms at a large technology company

Deep expertise in statistics, causal inference, and online experimentation methodology

Strong understanding of practical experimentation challenges in production systems

Experience with areas such as variance reduction, CUPED, sequential testing, SRM detection, metric design, or heterogeneous effects

Strong coding and systems skills in Python and large-scale data processing frameworks (e.g. Spark)

Experience designing analytical data models and scalable experimentation pipelines

Ability to communicate complex statistical concepts clearly to technical and non-technical audiences

Track record of influencing technical strategy through hands-on technical leadership

Experience in large-scale product experimentation, ML experimentation, ranking systems, marketplace systems, or similar high-scale experimentation domains is highly valued

Workplace &amp; Location

This role is based in Bellevue. We use a hybrid work model and value in-person collaboration for technical design, iteration, and cross-functional partnership.

Compensation Range: $293K - $325K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be a]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, ML Systems, Python]]></skills>
    <expirationdate>2026-07-12T17:46:00.803Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Head of Growth GSIs - Cognizant Infosys & Wipro]]></title>
    <date>2026-05-13T17:33:41.731Z</date>
    <referencenumber>cmpgih2pb03giv2xq91h7glnu</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/head-of-growth-gsis-cognizant-infosys-wipro-3924a111</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamOpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem to accelerate customer success, enable enterprise AI adoption, and drive durable growth in support of OpenAI’s mission toward AGI. We work cross-functionally across Product, Engineering, Security, Legal, and GTM to deliver strong partner outcomes through disciplined strategy and execution.

This role sits within Partnerships/GTM and will lead OpenAI’s strategy and execution with Global Systems Integrators such as Cognizant, Infosys and Wipro. These partnerships are critical to helping enterprise customers adopt, implement, and scale OpenAI’s products through trusted advisory, transformation, and delivery channels.

This role will be hybrid based in our San Francisco office.

About the RoleWe are hiring a Head of Growth GSIs - Cognizant Infosys &amp; Wipro to lead and scale OpenAI’s partnerships with Global Systems Integrators. You will be responsible for building strategic relationships with leading GSI partners, translating shared priorities into scalable partnership motions, and driving customer adoption through joint go-to-market, solution development, and delivery enablement.

This leader will operate as the single accountable owner for a portfolio of high-impact GSI partnerships, setting direction, establishing operating cadence, and aligning internal and partner stakeholders to deliver measurable business outcomes. Success in this role requires strong executive presence, sound judgment, and the ability to navigate complex, global, cross-functional partnerships across GTM, product, solutions, legal, security, and partner organizations.

In this role, you will:Own and grow OpenAI’s strategic partnerships with International GSIs, with accountability for partnership health, adoption, revenue impact, and long-term growth.

Define the partnership strategy and priorities for GSIs, including joint business plans, goals, execution roadmaps, and success metrics.

Establish and run a durable operating model, including governance, executive alignment, escalation paths, business reviews, and execution cadence.

Build and drive joint GTM plans with Sales, Solutions, and Marketing teams, including field enablement, solution positioning, demand generation, and coordinated customer execution.

Partner with Solutions, Product, and Engineering teams to identify repeatable enterprise use cases, delivery motions, and implementation patterns that help customers successfully adopt OpenAI products at scale.

Collaborate with Security, Legal, Privacy, and Commercial teams to ensure appropriate trust, compliance, and commercial frameworks for partner-led work.

Enable GSI partners to build OpenAI expertise across advisory, implementation, transformation, and managed services practices.

Track performance against clear metrics, identify bottlenecks, and drive continuous improvement across partnerships, programs, and field execution.

Represent OpenAI with senior partner executives, driving alignment, resolving issues, and expanding partnership scope over time.

Travel regularly to international locations such as India

You might thrive in this role if you have:Significant experience leading strategic GSI, alliances, or channel partnerships in enterprise software, cloud, consulting, or AI.

Deep familiarity with Global Systems Integrators and how they operate across global enterprise customers, transformation programs, and delivery organizations.

A track record building and scaling partnerships from early-stage strategy through executive alignment, field activation, delivery enablement, and measurable business impact.

Strong technical and product fluency, with the ability to partner effectively with Solutions, Product, Engineering, and Security teams without needing to be the hands-on implementer.

Experience navigating enterprise requirements related to security, privacy, governance, compliance, and commercial models in partner-led initiatives.

Exceptional cross-functional leadership and the ability to drive alignment across Sales/GTM, Solutions, Product, Engineering, Legal, and partner organizations.

Strong executive presence, negotiation capability, and comfort operating in fast-moving, ambiguous environments.

Clear, concise communication skills with experience producing decision-ready memos, joint plans, executive updates, and partnership business reviews.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not disc]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud]]></skills>
    <expirationdate>2026-07-12T17:33:41.731Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Engineer, People Innovation Labs]]></title>
    <date>2026-05-13T16:46:54.052Z</date>
    <referencenumber>cmpgih2v903hov2xq7ce728yd</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/data-engineer-people-innovation-labs-c7467def</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

At OpenAI, we’re building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we’re designing systems that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation.

About the Role

We’re seeking a Data Engineer to build data-intensive systems that will power People Innovation Labs’ internal products and enable the People Analytics function to do their best work. These data pipelines are crucial for our build-out of people products backed by business systems of record and for ongoing people data analytics.

One example of an employee-facing product you’ll help us build is OpenHouse, which serves as a culture and communication hub and an organization-wide front door into all other aspects of People Innovation Labs’ work. OpenHouse and other products in our portfolio are built by full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with People Innovation Labs leadership and software engineers and the People Analytics team to build the data systems that enable this work.

 In this role, you will:

Design, build and manage people data pipelines, ensuring all data is seamlessly integrated into our Databricks warehouse.

Develop canonical datasets to track key people metrics and People Innovation Labs product metrics.

Work collaboratively with various teams, including, Data Platform, Data Science, People Analytics, and Compensation and Equity to understand their data needs and provide solutions.

Implement robust and fault-tolerant systems for data ingestion and processing.

Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear as the primary data engineering expert on the team.

Ensure the security, integrity, and compliance of data according to industry and company standards.

Your background might look something like:

Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience (including data engineering).

Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.

Experience with data warehousing technologies such as Databricks and Snowflake, and expertise with ETL schedulers such as Fivetran, Airflow, Dagster, Prefect, or similar.

Experience with distributed processing technologies and frameworks, such as Spark, Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public informa]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Databricks]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Databricks, Python, Scala, Java, Snowflake, ETL, Airflow]]></skills>
    <expirationdate>2026-07-12T16:46:54.052Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Analytics Engineer II]]></title>
    <date>2026-05-13T15:23:52.322Z</date>
    <referencenumber>cmpgigmay02cmv2xqgis4eutr</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/analytics-engineer-ii-2dee3d39</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Stockholm]]></city>
    <country>ES</country>
    <description><![CDATA[The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

We’re looking for an Analytics Engineer II to join Spotify's Platform Central Data (PCD) squad, a cross-functional Data Engineering and Analytics Engineering team within the Platform Mission. You’ll help build and maintain trusted analytical models, metrics, and data products that power developer productivity, platform health, and leadership decision-making. Working closely with Data Engineers, Product, Engineering, and Platform partners, you’ll translate platform signals into reliable, well-modeled data assets that help Spotify ship faster and safer.

What You"ll Do
Build and maintain analytical data models using dbt (or similar SQL-based transformation frameworks) in BigQuery for a broad set of stakeholders
Build and operate reliable data pipelines using SQL, with a focus on testing, observability, and CI/CD
Help define and evolve key metrics for platform health, developer productivity, and ML/AI platform adoption
Partner with Data Engineers on upstream pipelines and collaborate with Product, Engineering, and Data Science to scope and deliver insights
Improve data quality, performance, and cost efficiency across pipelines and models, including troubleshooting and backfills
Contribute to dashboards and self-serve data products that enable better decision-making across teams
Follow and contribute to data quality, testing, and documentation practices across the analytics layer
Participate in a fair support rotation for key datasets, pipelines, and analytical products

Who You Are
You have 2+ years of experience in analytics engineering, data engineering, or a related field
You have strong SQL skills and experience with data modelling
You are experienced with dbt (or similar SQL-based transformation frameworks) and a cloud data warehouse such as BigQuery, Snowflake, Redshift, or Databricks SQL
You are familiar with workflow orchestration tools such as Airflow, Dagster, Prefect, or Flyte
You care about data quality, reliability, and testability
You are comfortable working with BI/visualisation tools such as Looker or Tableau
You communicate clearly with both technical and non-technical partners
You are able to prioritize and deliver in a fast-moving environment
You have experience with platform or developer productivity data, experimentation, or ML/AI metrics

Where You'll BeThis role is based in London or Stockholm. 
 
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. 
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[dbt]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[dbt, SQL, CI/CD, Cloud, Snowflake, Databricks, Airflow, Looker]]></skills>
    <expirationdate>2026-07-12T15:23:52.322Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Manager, Growth Creative Strategy & Optimization - Markets & Subscribers]]></title>
    <date>2026-05-13T15:09:09.200Z</date>
    <referencenumber>cmpgign0g02hyv2xqdhc0vasy</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/manager-growth-creative-strategy-optimization-markets-subscribers-b24e4950</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[We’re the Markets &amp; Subscribers business unit, a truly cross-functional team focused on finding future listeners, wherever and whoever they may be. We work collaboratively, combining marketing, insights, product development, design, and engineering expertise to grow Spotify’s subscribers and monthly active users in both new and existing markets across the globe. Join us and you’ll be part of a dynamic team taking acquisition, activation, and business growth at Spotify to the next level.

Spotify is looking for a Manager, Growth Creative Strategy &amp; Optimization to own the full creative process across performance and lifecycle marketing. This is a senior individual contributor role — you’ll be the creative center of gravity for both the Performance Marketing team (off-platform paid acquisition channels) and the Lifecycle Marketing team (on-platform organic acquisition channels). The ideal person for this role has a strong background in DR creative, is fluent in creative testing and optimization, and can manage end-to-end creative production while translating data into actionable creative strategies.

What You'll Do

Lead end-to-end creative development for Paid Social (Meta, TikTok, Snapchat), Google (Demand Gen, Google App Campaigns), CTV, and lifecycle marketing channels from brief through final asset delivery, ensuring all creative is on-brand and optimized for conversion
Build and maintain a creative review framework that defines who reviews what, at which stage, and against which criteria, creating clarity and consistency across teams
Advocate for creative quality, going beyond brand guideline compliance to support work that is compelling, differentiated, and built to perform
Develop a POV on creative volume and testing — how much creative is needed, what should be tested, and what is driving impact vs. generating noise
Build an annual creative roadmap of themes, priorities, and focus areas that aligns both teams around a shared creative strategy and reduces reactive production
Analyze creative performance metrics (CTR, CVR, CPA, etc.) to identify effective patterns and surface opportunities for improvement
Synthesize test results into clear, actionable creative briefs and iteration roadmaps, and communicate findings to stakeholders across both teams
Identify and implement automation and AI tools across the creative workflow, establishing a clear framework for where and when they should be used vs. where human creative judgment is essential
Stay ahead of platform-specific creative best practices and emerging formats, and proactively incorporate them into the creative playbook
Collaborate with media buyers and growth managers to ensure creative is aligned with investment strategy, platform algorithms, and audience targeting

Who You Are

You have 5+ years of experience in performance creative, growth marketing, or a related creative strategy role, ideally within a consumer tech or media brand
You have a track record of developing creative at scale across multiple markets and languages that drives measurable performance outcomes across paid and owned channels
You are familiar with platform-specific creative specs and best practices across Meta, TikTok, Snapchat, and Google
You bring strong creative instincts and a high bar for quality, and can provide clear, constructive feedback
You think in systems and have built or improved creative workflows, review processes, or operating frameworks
You are comfortable working with data and can interpret creative metrics and contribute to a test-and-learn framework with a clear point of view
You are an effective communicator who can translate performance data into creative direction and influence cross-functional stakeholders
You are self-directed and organized, able to manage multiple workstreams and prioritize in a fast-moving environment
You are comfortable using AI tools to support creative production, improve efficiency, and scale output
You have experience with creative automation or DCO platforms (e.g., Smartly, Celtra)
You are detail-oriented, results-driven, and open-minded, with a willingness to stay close to the work
You have a passion for music and audio — you’re a Spotify listener first

Where You'll Be

We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
This team operates within the Eastern Standard time zone for collaboration.

The United States base range for this position is $95,000 - $135,000, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-12T15:09:09.200Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Physical Design Engineer, Forward Deployed Engineering]]></title>
    <date>2026-05-13T14:36:01.538Z</date>
    <referencenumber>cmpgih2tm03hcv2xqdqg6pjep</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/physical-design-engineer-forward-deployed-engineering-3bff2ed0</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Forward Deployed Engineering team partners with leading semiconductor companies to deploy production-grade AI systems across the entire chip design lifecycle: design, verification, and physical design. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into systems that materially improve engineering workflows and accelerate innovation.

Our work turns early, high-touch deployments into repeatable solution patterns, reference architectures, and evaluation practices that scale across the semiconductor ecosystem.

About the Role

We are seeking a highly skilled Physical Design Engineer to join our semiconductor-focused Forward Deployed Engineering team. This is a senior IC role that will begin with a strong emphasis on physical design expertise, technical judgment, advisory leverage, and customer credibility, with the expectation that the person will grow into a broader Forward Deployed Engineering role over time.

In the near term, you will serve as the team’s physical design SME across semiconductor deployments: helping FDEs, Product, and Research understand backend implementation workflows, pressure-test AI-assisted solution ideas against real physical design constraints, and raise the quality of our customer-facing technical work. You will help the broader team build fluency in implementation flows, EDA tooling, signoff methodology, and the trade-offs that shape physical design decisions in practice.

Over time, we expect this role to expand beyond SME support into broader FDE ownership: partnering directly with customers, shaping deployment strategy, building and iterating production-grade AI systems, driving technical workstreams, and helping turn high-touch semiconductor deployments into repeatable solutions.

This is a strong fit for someone who brings deep physical design expertise today and is excited to grow into a customer-facing, systems-building, delivery-oriented FDE role.

In this role, you will:

Serve as the physical design SME for semiconductor customer engagements, helping FDE teams understand backend implementation workflows, constraints, and opportunities

Partner with FDEs during customer discovery and scoping to translate ambiguous pain points into clear solution hypotheses, success criteria, and technical plans

Support customer-facing technical conversations as a trusted advisor, engaging credibly with technical leaders

Help shape AI-assisted solutions across physical design workflows, including floorplanning, place and route, clocking, timing closure, congestion, power, physical verification, and signoff

Guide feasibility and integration decisions across the entire chip design lifecycle: design, verification, and physical design

Partner with FDEs and customer SMEs to curate evaluation datasets, golden tasks, rubrics, and acceptance criteria for physical design use cases, ensuring evals reflect real workflows and meaningful success metrics

Build or guide lightweight prototypes, benchmarks, methodology experiments, and internal tools that validate opportunities and accelerate solution development

Educate and mentor the broader FDE team on physical design concepts, implementation flows, EDA tooling, and key trade-offs so the org can engage customers with greater depth and confidence

Surface repeated customer signal to Product and Research to help shape roadmap, model behavior, and platform capabilities for semiconductor use cases

Progressively take on broader FDE responsibilities, including customer discovery, solution architecture, prototype development, production deployment, and ownership of technical workstreams

Minimim Qualifications

BS with 7+ years, MS with 5+ years, or equivalent industry experience in physical design, physical implementation, or backend signoff for complex ASIC or SoC programs

Demonstrated success bringing complex designs through tapeout, with hands-on experience in floorplanning, place and route, CTS, timing closure, power analysis, physical verification, and signoff

Deep familiarity with industry-standard EDA tools and flows for synthesis, PNR, STA, physical verification, equivalence checking, and power analysis

Strong understanding of how physical design intersects with microarchitecture, RTL, verification, design methodology, libraries/PDKs, and system-level PPA trade-offs

Strong communication and collaboration skills, with the ability to translate deep technical trade-offs clearly in customer-facing and cross-functional settings

Comfortable operating as a consultative expert and advisor — unblocking teams, shaping decisions, and raising technical quality without necessarily being the direct implementation owner

Strong scripting and automation skills in Python, Tcl, or similar

Excited to grow beyond domain SME responsibilities into a broader Forward Deployed Engineering role, including hands-on solution building,]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Flows]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Flows, Python]]></skills>
    <expirationdate>2026-07-12T14:36:01.538Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Scientist II - Trust & Safety]]></title>
    <date>2026-05-13T13:09:10.508Z</date>
    <referencenumber>cmpgigmlv02esv2xqg1ppgs60</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/data-scientist-ii-trust-safety-5bb60453</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[Spotify is seeking a Data Scientist II to join Product Trust Insights (PTI) within Trust &amp; Safety. PTI accelerates Spotify innovation by providing safety research, risk measurement, and evidence-based recommendations that enable R&amp;D teams to confidently expand into new products, markets, and technologies.

PTI's research informs how Spotify designs, launches, and improves features across the platform, with a particular focus on AI-powered experiences, recommendations, social and messaging surfaces, and the safety needs of younger users. Our work helps product teams understand where risks concentrate, which user segments are most affected, and which interventions improve outcomes.

This role will partner with other Trust &amp; Safety teams to ensure that product and policy decisions are grounded in rigorous evidence. The work spans pre-launch risk assessment, evaluation of AI features and agentic systems, longitudinal safety measurement, and research into how high-risk user populations experience the platform. Trust &amp; Safety's mission is to keep Spotify safe for creators, advertisers, and listeners, and PTI's contribution is the evidence base that makes safer product decisions possible.

What You'll Do

Lead end-to-end research and measurement projects that evaluate the safety of new and existing features, from scoping through delivery of actionable recommendations
Design and generate data for product risk assessments, stress tests, and evaluation of AI-powered features, including generative and agentic experiences
Develop longitudinal trust and safety metrics and use them to evaluate the effectiveness of product interventions over time
Translate complex research findings into clear narratives, tools, and recommendations for product, policy, and leadership audiences
Partner with product safety specialists, policy advisors, product leads, and engineering counterparts to ensure product launches reflect user safety needs and support thoughtful, “no regrets” design
Build and improve evaluation methods, including LLM-based evaluation approaches, behavioral instrumentation, and measurement frameworks in collaboration with data scientists and engineers
You will work closely with product managers, designers, engineers, policy specialists, researchers, and other data scientists. Your work will help inform decisions that often involve senior leadership.

Who You Are

You have 3+ years of experience leading data science or research projects with a focus on safety, integrity, responsible AI, fairness, or a related domain
You are experienced with SQL and Python and are comfortable working across quantitative and qualitative evidence
You have hands-on familiarity with modern AI and machine learning systems, including recommendation systems and large language models, and understand how risks emerge from system design
You are comfortable scoping ambiguous problems, including early-stage or zero-to-one research areas, and prioritizing them in a fast-moving environment
You communicate clearly with both technical and non-technical audiences, including explaining methodological choices to policy partners and leadership
You care about turning research into practice and are comfortable making concrete, evidence-based recommendations
You bring a thoughtful perspective on responsible product innovation and how to measure and improve platform safety

Where You'll Be

This role is based in New York or Boston
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home
This team operates within the Eastern Standard time zone for collaboration

The United States base range for this position is $117,000 – $167,000 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[SQL]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[SQL, Python, Machine Learning]]></skills>
    <expirationdate>2026-07-12T13:09:10.508Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Developer Experience Engineer]]></title>
    <date>2026-05-13T12:44:52.675Z</date>
    <referencenumber>cmpgih1ur03amv2xq97qvutcg</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/developer-experience-engineer-c156a961</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Seoul]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

The Developer Experience team at OpenAI has a singular focus: empowering developers globally. Our mission is to provide every developer and startup on the planet with the most delightful and seamless experience to integrate AI into their applications and products. We ensure developers have the tools, resources, and support they need to unlock AI’s full potential.

We create inspiring demos, developer tools, sample applications, and technical content that show developers how to build with Codex and frontier models like GPT-5.5 and GPT-Image-2 to create powerful agents and AI-native applications.

We collaborate closely with product, engineering, research, and GTM teams to ensure the developer journey, from onboarding with Codex to first API call to production deployment, is seamless, effective, and delightful.

About the Role

As a Developer Experience Engineer, you will create compelling technical content, developer tools, and sample applications designed to inspire developers and enable them to succeed with Codex and OpenAI’s APIs and products for developers.

You will engage with developers and technical founders, demonstrating best practices and building innovative applications powered by frontier models, multimodal capabilities, and tools like Codex.

We’re looking for people who combine strong technical skills, creativity, and a passion for engaging with and empowering developers.

In this role, you will:

Develop demos and sample applications that showcase best practices for building with Codex, frontier models, multimodal capabilities, and agents.

Create high-quality technical content, including tutorials, blog posts, videos, and code samples, to educate and inspire the developer community about our models, APIs, and Codex.

Actively engage with and foster a vibrant Korea and global developer ecosystem around OpenAI's platform and products.

Represent OpenAI at developer events and online, serving as a knowledgeable and approachable advocate for developers.

Gather and synthesize developer feedback to inform and improve our product roadmap.

Collaborate cross-functionally with product, engineering, and marketing teams to drive adoption and success across OpenAI's developer products, including Codex and our APIs.

Contribute directly to improving and refining OpenAI's developer products, interfaces, and surfaces.

Own challenges end-to-end, proactively closing gaps and developing new skills to solve complex problems.

Travel across APAC up to ~30% of the time to meet developers, support events, and build local communities.

You might thrive in this role if you:

Are passionate about crafting exceptional developer experiences and creating inspirational technical content and projects.

Bring a robust full-stack engineering background with demonstrated experience building innovative applications using AI and large language models (LLMs).

Have strong user empathy and care deeply about delivering experiences developers truly appreciate.

Korean language skills as the role will work with the local communities

Have a proven track record of successfully creating engaging technical content, compelling demos, or innovative developer tooling that accelerates technology adoption.

Find joy in coding, continuously shipping high-quality, impactful software.

Excel in dynamic environments characterized by rapidly evolving priorities, ambiguity, and competing deadlines.

Are an exceptional collaborator who thrives working cross-functionally and enjoys partnering with diverse teams.

Maintain a genuine commitment to AI ethics and safety, strongly aligning with OpenAI's responsible AI development principles.

Stay deeply current on OpenAI's latest developer products and offerings, including Codex, APIs, and frontier models, and translate that fluency into useful demos, content, and developer guidance.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, inclu]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, APIs, LLMs, Excel]]></skills>
    <expirationdate>2026-07-12T12:44:52.675Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer: IaC Platform Experience]]></title>
    <date>2026-05-13T12:37:38.287Z</date>
    <referencenumber>cmpgih6fr03n0v2xqptvshuhe</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-iac-platform-experience-9ee23c7f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About SupabaseSupabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

About the RoleWe are looking for a Software Engineer: IaC Platform Experience to join our Interfaces team and own the Terraform provider as a core part of Supabase's developer platform.

This is a hands-on engineering role focused on the Go codebase behind the Supabase Terraform provider. You will partner with product and engineering leadership on roadmap priorities, drive technical execution, and ensure we ship a reliable, predictable, and well-documented Terraform experience for developers at scale.

You will focus on resource behavior, lifecycle correctness, schema evolution, upgrade safety, and practical migration paths for existing users.

This role is ideal for someone who thrives in async, fast-paced environments and enjoys building practical platform primitives that millions of developers can rely on.

What You’ll OwnOwn the Go Terraform provider codebase, including architecture, implementation quality, test strategy, and release readiness.

Improve Terraform provider reliability and ergonomics, including resource behavior, data sources, lifecycle edge cases, and upgrade safety.

Drive technical strategy for IaC workflows through design docs, RFCs, and iterative delivery.

Build practical migration and interoperability paths for existing Terraform users.

Partner with product and engineering leadership in a shared roadmap model to define priorities, scope, and outcomes.

Monitor customer feedback, OSS issues, and usage signals to continuously improve the Terraform experience.

Create clear documentation and examples that make IaC workflows easier to understand and adopt.

What You Bring5+ years of software engineering experience in developer platforms, infrastructure tooling, or distributed systems.

Strong proficiency in Go and a track record of shipping production-grade developer tooling.

Deep experience with Terraform provider behavior, declarative resource models, and lifecycle edge cases.

Strong understanding of schema design, versioning, and backwards compatibility.

Experience owning or contributing to a provider codebase with real user adoption and upgrade constraints.

Experience with testing strategy for providers and IaC tooling (unit, integration, and end-to-end) plus CI/CD pipelines.

Familiarity with release/versioning strategies and backwards compatibility in widely used developer tooling.

Strong written communication and a track record of clear technical design docs and RFCs.

Nice to have: familiarity with TypeScript-based tooling, Supabase CLI workflows, and GitHub-centric automation.

Decision-Making and CollaborationThis role operates in a shared consensus model for major technical decisions with peers and leadership.

You are expected to lead proposals and recommendations, align stakeholders, and move decisions to clear outcomes.

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Hiring ProcessWe keep things simple, async-friendly, and respectful of your time:

Apply – Our team will review your application.

Intro Call – A short video chat to get to know each other.

Interviews – Up to four calls with:

Team Leads

Future teammates

Someone cross-functional from produ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Vector Search, Terraform, Distributed Systems, CI/CD, TypeScript, GitHub]]></skills>
    <expirationdate>2026-07-12T12:37:38.287Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Machine Learning Engineer - Personalization]]></title>
    <date>2026-05-13T09:55:16.497Z</date>
    <referencenumber>cmpgigncr02kmv2xqo8e9yqug</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-machine-learning-engineer-personalization-5731acb9</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people use the products we build, including destinations like Home and Search, original playlists like Discover Weekly and Daylist, and new innovations like AI DJ and AI Playlists.

The Surfaces Music team is responsible for music recommendations across Spotify's most visible surfaces, including Home and the Now Playing experience. We own music shelf and candidate generation as well as the ranking models that power these experiences. Our models include embedding models for deep catalog discovery, new release recommendations, and a unified transformer-based generative personalization model that is poised to reshape how we deliver personalized experiences across Spotify.

What You'll Do

Contribute to the design, development, evaluation, and iteration of recommendation models — including candidate generation, ranking, and embedding models — powering music surfaces at scale.
Drive hands-on ML development to improve reward signals and recommendation quality across Home, Now Playing, and other core surfaces.
Contribute to the team's adoption of generative recommendation models, partnering with ML and AI infrastructure teams.
Promote best practices in ML systems development, testing, and experimentation within the team.
Collaborate with Data Science, Product, and Design partners to define success metrics, run A/B experiments, and translate insights into product improvements.
Partner with teams across Personalization to integrate and test new signals in recommendation systems.

Who You Are

You have a strong background in machine learning and enjoy applying theory to real-world applications, with expertise in statistics and optimization — particularly sequential models, transformers, generative AI, and LLMs.
You have hands-on experience building and shipping production machine learning systems at scale, ideally in personalization or recommendation systems.
You have experience implementing ML systems in Java, Scala, Python, or similar languages. Familiarity with PyTorch, Ray or Hugging Face is a plus. 
You have some experience with large-scale distributed data processing frameworks such as Apache Beam, Apache Spark, or Scio, and cloud platforms like GCP or AWS.
You have experience collaborating across teams on complex ML projects and navigating cross-functional stakeholders.
You care about agile software processes, data-driven development, reliability, and disciplined experimentation.

Where You'll Be

This team operates within the Eastern Standard time zone for collaboration
We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location. 

The United States base range for this position is $210,000 - $260,000 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Machine Learning, ML Systems, Generative AI, LLMs, Java, Scala, Python, PyTorch, Apache Spark, Cloud, GCP, AWS]]></skills>
    <expirationdate>2026-07-12T09:55:16.497Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Edge Functions Engineer]]></title>
    <date>2026-05-13T09:45:06.011Z</date>
    <referencenumber>cmpgih6g303n2v2xq6b528wg4</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/edge-functions-engineer-bf009e13</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About SupabaseSupabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

Edge Functions are server-side TypeScript functions, distributed globally at the edge - close to your users. They power use cases such as webhook receivers, AI inferences, OG image generation and real-time bots (Slack, Discord, etc). Built on top of Supabase Edge Runtime: an open-source, Deno-based runtime written in Rust that runs JavaScript, TypeScript, and WASM services.

We want developers to be able to build truly global applications by distributing both compute and data globally. Infrastructure concerns like regions, cold starts, CPU and memory provisioning should fade into the background so developers can focus on iterating on business logic.

We are looking for experienced and passionate engineers to help us go further in this vision.

What You’ll Own

Evolving Supabase Edge Runtime - an Open-sourced Rust-based host that runs the Deno isolate, manages the main/user runtime split, and enforces per-request memory and CPU limits.

Implementing monitoring, alerting, and OpenTelemetry tracing across the runtime, then using that visibility to drive optimizations that improve latency and reliability of the service.

Working closely with the Deno and other open-source teams, contributing to upstream and relaying our users' requirements.

Participating in an on-call rotation to keep Edge Functions healthy in production.

Help manage and improve features like scheduled functions, background tasks, WebSockets streaming, ephemeral file storage, and custom routing.

Integrating functions more tightly with the rest of the Supabase stack - Auth, Postgres, Storage, and Realtime.

Expanding functions to support more use cases (AI inference, MCP servers, hosting simple websites, URL shorteners).

Improving the DX of developing and debugging functions locally through the Supabase CLI, including DevTools integration, logging, and production parity.

What You’ll Bring

At least 5 years of backend or systems engineering experience, with strong fluency in Rust and TypeScript.

Experience with V8 Isolates, Deno and the JavaScript runtimes in general.

Experience operating infrastructure at scale - Kubernetes, AWS, Cloudflare Workers, Redis, or comparable systems.

A strong vision for how compute and data can be pushed to the edge.

Bonus: experience building developer-facing CLIs or front-end tooling that sits on top of an infrastructure product.

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Hiring ProcessWe keep things simple, async-friendly, and respectful of your time:

Apply – Our team will review your application.

Intro Call – A short video chat to get to know each other.

Interviews – Up to four calls with:

Team Leads

Future teammates

Someone cross-functional from product, growth, or engineering (depending on the role)

Someone from our leadership/founding team

Decision – We may follow up with a final question or go straight to offer.

All communication is remote and we aim to move fast.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Vector Search, TypeScript, Slack, GitHub, Rust, JavaScript, OpenTelemetry, Kubernetes, AWS]]></skills>
    <expirationdate>2026-07-12T09:45:06.011Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Full Stack Engineer - Audiobooks]]></title>
    <date>2026-05-13T09:35:05.452Z</date>
    <referencenumber>cmpgigmsi02gav2xqvgulpgci</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/full-stack-engineer-audiobooks-339506d9</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[Spotify for Authors (SFA) is the creator platform for the audiobook industry — a web application that gives publishers, authors, and narrators tools to manage their catalog, track   performance, and distribute content on Spotify. We're scaling toward 100,000 users across a React/TypeScript frontend, Java backend services, and data pipelines that feed into Spotify's   broader audiobook ecosystem.

SFA connects to Spotify's highest-priority bets: expanding audiobook access, building content creation tools, and shaping discovery surfaces. We operate with a "short toes" philosophy —   contribution has no borders, quality is shared, and we use modern tools (including AI) to reduce toil and amplify creativity.

What You'll Do

Build and evolve features end-to-end across a React/TypeScript frontend and Java backend services that power the SFA platform at scale
Use AI-assisted development tools as a core part of your workflow for code generation, automated testing, and AI-powered code review
Deliver testable, maintainable, and high-quality code and take operational responsibility for the components you develop
Collaborate closely with engineers, product managers, and designers to ship impactful experiences for audiobook creators
Contribute to technical discussions and participate in RFCs and code reviews
Share knowledge and promote best practices within your squad

Who You Are 

You have experience building web applications across the stack. TypeScript and Java experience preferred.
You're motivated to learn, take on new challenges, and T-shape
You think product-first while building tech solutions
You're comfortable using AI tools and agents to support your development workflow
You're comfortable with modern infrastructure practices (CI/CD, containers, cloud platforms) and care about observability
You communicate clearly and collaborate well in a distributed team
You're pragmatic and motivated by solving real problems for creators

Where You'll Be

This role is based in Stockholm or London
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[React]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[React, TypeScript, Java, CI/CD, Cloud]]></skills>
    <expirationdate>2026-07-12T09:35:05.452Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Success Engineer]]></title>
    <date>2026-05-13T08:54:02.357Z</date>
    <referencenumber>cmpgih2w403huv2xqtokexxdm</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-success-engineer-d5c7038d</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Abu Dhabi]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organizations to translate cutting edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the center of that mission.

 About the Role

The Success Engineer role is the primary post-sales point of contact for a set of OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s platform.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

This role is based in Abu Dhabi. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees.

 In this role, you will:

Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization

Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

Conduct technical enablement and configuration sessions across our broad product portfolio  

Identify and validate use cases by embedding with customer teams to understand workflows and pain points

Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

Guide value realization and measure impact through baselines, KPI definition, and post deployment reporting

Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

Help drive expansions by identifying high leverage opportunities where OpenAI’s platform can power new workflows or lines of business

Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

 You’ll thrive in this role if you:

8+ years of experience in technical customer facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, or deep technical enterprise adoption work

Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.

Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies

Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges

Have excellent project and program management instincts and can lead multi workstream initiatives with clarity and structure

Enjoy being a thought partner for C level stakeholders while also diving deep with technical teams

Operate with high ownership and can manage fast decision making, context switching, and dynamic customer needs

Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[GenAI]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[GenAI, APIs]]></skills>
    <expirationdate>2026-07-12T08:54:02.357Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Editor Music and Culture, International & Hip-Hop]]></title>
    <date>2026-05-13T08:01:22.213Z</date>
    <referencenumber>cmpgigmn602f4v2xqfgb8jggp</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/editor-music-and-culture-international-hip-hop-10a4d3a0</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Mumbai]]></city>
    <country>ES</country>
    <description><![CDATA[The Music Mission team owns Spotify’s end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale.

You’ll join Spotify’s Editorial team in India, where music, culture, and storytelling come together to shape how millions of listeners discover and connect with music every day. As part of a global network of editors, you’ll help define how international music and hip-hop show up for audiences in India—and how Indian hip-hop travels beyond borders.

 

What You'll Do

Spot and act on music trends, emerging artists, and cultural moments across international and hip-hop scenes
Curate and evolve playlists that connect with listeners, using thoughtful sequencing, strong storytelling, and clear editorial voice
Translate global music trends into locally relevant experiences for Indian audiences, while elevating Indian hip-hop to global listeners
Use data and audience insights to continuously improve playlist performance and listener engagement
Collaborate with global and regional editorial teams on programming strategies and campaigns
Partner with marketing, advertising, and product teams to bring cultural insights into broader Spotify initiatives
Contribute to artist discovery by identifying breakout talent and supporting their growth through editorial ecosystems
Create engaging editorial content beyond playlists, including written and multimedia storytelling

Who You Are

You have at least 6+ years of experience in music, media, or entertainment, with a strong understanding of digital platforms
You have deep knowledge of global music culture, especially hip-hop and international genres, and how they connect with audiences in India
You understand how listener behavior, culture, and trends intersect, and can translate that into meaningful editorial decisions
You’re comfortable working with data and using insights to guide your thinking and measure impact
You communicate clearly and confidently in English; additional Indian languages are a plus
You bring a strong point of view on music and culture, paired with curiosity and openness to new perspectives
You collaborate effectively across teams and are comfortable working in a fast-paced, evolving environment
You’re organized, adaptable, and bring a thoughtful, inclusive approach to your work

Where You'll Be

This role is based in Mumbai
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-12T08:01:22.213Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Business Development Representative - APAC]]></title>
    <date>2026-05-13T02:54:33.438Z</date>
    <referencenumber>cmpgih02g02yiv2xqtmfcbcgd</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/business-development-representative-apac-6bb6115c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business, from ChatGPT Enterprise to our developer and APIs. 

We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and develop-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. 

About the Role

This role is designed as a launchpad for future sellers at OpenAI. This is a highly strategic role with significant exposure to enterprise sales, product, and customer strategy. You’ll develop core skills in discovery, stakeholder mapping, deal shaping, and executive communication while building a deep understanding of how leading companies adopt AI.

We are looking for individuals with 4-6+ years of professional experience who are motivated to grow into world-class enterprise sellers over  time. While many individuals in this role go on to become Account Directors or take on broader GTM roles, progression is based on performance and business needs rather than a fixed timeline.

For the right person, this is one of the most accelerated paths to break into sales at OpenAI and build a long-term career in AI go-to-market.

In this role, you will identify, shape, and advance complex enterprise opportunities by turning product usage, pilots, and inbound demand into qualified, high-conviction enterprise opportunities for our large Enterprise and Strategic Accounts teams.

In this role, you will:

Partner with Account Directors on account strategy, multi-threading, and deal progression

Design and execute targeted outbound strategies using industry context, stakeholder mapping, and product signal to break into priority accounts

Lead high-quality discovery to uncover business priorities, map stakeholders, and assess enterprise readiness

Contribute to pipeline reviews by sharing outbound activity, account insights, and early competitive signals

Build and iterate on AI-enabled GTM workflows (GPTs/Agents) to scale prospecting and qualification

You may thrive in this role if you:

Have 4+ years of relevant experience in enterprise sales, or in strategic customer-facing roles in the finance or consulting industry

Have a track record of consistently hitting and exceeding ambitious targets in enterprise or strategic sales environments

Experience selling into regulated or complex industries (Financial Services, Life Sciences, Retail)

Strong communication skills and executive presence; be able to build credibility with senior C-Suite stakeholders across an organization, and speak fluently with technical buyers

Strong interest in the AI landscape with the ability to connect OpenAI products to real customer value and business outcomes

You enjoy evangelizing new technology and helping the market understand what’s possible

You’re comfortable with ambiguity, moving quickly, and operating well with a high degree of ownership.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, a]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, APIs]]></skills>
    <expirationdate>2026-07-12T02:54:33.438Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Program Manager, Safety]]></title>
    <date>2026-05-13T00:06:43.994Z</date>
    <referencenumber>cmpgih2wl03hyv2xq7rg4a78o</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/program-manager-safety-2e9ea5ed</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Safety Systems team works to ensure OpenAI's most capable models can be developed and deployed responsibly. Our work spans evaluations, safeguards, red teaming, deployment decisions, and the systems that help OpenAI understand and reduce risk as models become more capable and widely used. Safety Systems is in need of a Safety Program Manager to streamline our safety review process. This role is critical for driving safe deployment of our new models and products, synthesizing inputs from multiple stakeholders — across research, product, engineering, legal, and policy — and ensuring all the risks are effectively and properly monitored, mitigated, or resolved.

About the Role

As a Safety Program Manager, you will be responsible for critical tasks ranging from tracking safety reviews and risk tables as part of OpenAI’s launch processes to acting as the connective tissue to enhance the deployment of our safety systems. This role is incredibly cross functional, working with stakeholders across our research, engineering, integrity, product, and strategy teams to ensure our launches have been thoroughly reviewed for safety risks.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Coordinate cross-functional safety launch readiness across model and product releases, ensuring risk tables, mitigations, monitoring plans, and decision points are clearly tracked from early scoping through post-launch review.

Build operating rhythms across Safety Systems, Integrity, Strategy, User Operations, and engineering teams so safety learnings from past launches translate into concrete improvements to automated safeguards, tooling, and review processes.

Design and run key internal programs, including incident management and processes for regularly updating our safety mitigations.

Work directly with technical stakeholders to create scalable, repeatable safety processes.

You might thrive in this role if you:

Graduate degree in computer science, engineering, management or equivalent experience.

Have an extensive track record of successfully delivering high-profile, complex projects against tight deadlines.

Are technically versed, and have effectively partnered with engineering and fundamental research teams of the highest caliber.

Have expertise in designing and implementing simple, scalable processes that solve complex problems.

Are relentlessly resourceful and thrive in ambiguous, fast-paced environments.

Have strong knowledge of content integrity and moderation, including industry best practices and regulatory guidelines.

Have exceptional written and verbal communication skills.

Care about AGI safety.

Compensation Range: $162K - $240K USD

 

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-12T00:06:43.994Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Supervising Studios Production Manager]]></title>
    <date>2026-05-12T21:27:04.278Z</date>
    <referencenumber>cmpgignnl02mqv2xqc4e5rqk8</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/supervising-studios-production-manager-f4b51862</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Los Angeles]]></city>
    <country>ES</country>
    <description><![CDATA[The Ringer seeks a Senior Production Manager to join its team. The ideal candidate will be driven, innovative, and enthusiastic about sports and pop culture. In this role, the production manager will work with studio teams and remote teams to coordinate all recordings and seasonal staffing. This role requires significant experience with production staffing and fluctuating production needs. Familiarity with The Ringer and Spotify’s podcast business is also important. 
What You'll Do

Production Logistics &amp; Scheduling: Work with the studio scheduling leads to coordinate studio bookings

Facility &amp; Equipment Management: Work with our engineering team, who oversee maintenance of studio equipment, technology management, and ensure readiness for production. Managing the scheduling of planned upgrades and downtime to address technical issues.

Manage studio backend support, including coordination with vendors, technology and production. Ensure smooth communication to all appropriate parties, and lead the implementation of upgrades as needed. 

Operational strategy: Streamline workflows, develop budgets, and manage vendor relations to optimize efficiency and increase production value.

Collaborate with production managers and creative executives on production operations strategies. Assist leadership to establish in-studio practices that maximize team cohesion and efficiency.

Act as a bridge between Studio Production and Finance, building rate cards and managing onboarding of vendors and contractors.

Lead efforts to source additional contractor support, building a high-level strategy for show and studio preferred assignments.

Drive configuration of studio spaces and facilities to enable purposeful onsite work, including partnering closely with the engineers to ensure all space and related equipment are working effectively in user friendly ways that take into account best practices.

Supporting the live events team’s effort to source production crew and equipment for remote productions.

Work closely with Head of Production and other leadership on production budgets including services, negotiating bids for outside vendors, tracking costs and expenditure reconciliation. Partner with Head of Production to project upcoming budgets.

Who You Are

Experience: 7+ years running studio operations at a video production facility 

Leadership: Strong team management and communication abilities.

Technical Proficiency: Knowledge of production equipment, scheduling software, and tools like Excel/PowerPoint.

Problem-Solving: Ability to resolve issues quickly in high-pressure, fast-paced environments. 

Established relationships with vendors, film commissions, and facilities.

Excellent written and verbal communication skills, and excellent project management skills

Excellent organization skills; ability to handle multiple projects at once

Significant experience managing physical production, in studio and remote, including facility operations, vendor management and negotiations

Experience working in a dynamic environment. Demonstrable ability to effect change and drive new practices and procedures.

Previous experience managing a team 

Motivated self-starter with excellent organizational and analytical skills

Strategically minded and adept at managing in a diverse environment

Adept at building strong relationships and interfacing with people at all levels across the organization

Proactive approach and solution focused

Where You'll Be
This role is located in Los Angeles, California

The United States base range for this position is $116,810–$166,871 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Logistics]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Logistics, Excel, PowerPoint, Project Management]]></skills>
    <expirationdate>2026-07-11T21:27:04.278Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Partner Director GSIs - Cognizant and Infosys]]></title>
    <date>2026-05-12T21:17:29.585Z</date>
    <referencenumber>cmpgih2fi03emv2xqxm7u4b75</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/partner-director-gsis-cognizant-and-infosys-f106d184</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem to accelerate customer success, enable enterprise AI adoption, and drive durable growth in support of OpenAI’s mission toward AGI. We work cross-functionally across Product, Engineering, Security, Legal, and GTM to deliver strong partner outcomes through disciplined strategy and execution.

This role sits within Partnerships/GTM and supports OpenAI’s strategic partnerships with Global Systems Integrators (GSIs). These partnerships are critical to helping enterprise customers adopt, implement, and scale OpenAI’s products through trusted advisory, transformation, and delivery channels.

This role will report into the Head of GSIs and will focus specifically on driving partnership strategy, execution, and growth with Cognizant and Infosys.

This role will be hybrid based in our San Francisco office.

About the Role

We are hiring a Partner Director GSIs — Cognizant &amp; Infosys to help lead and scale OpenAI’s strategic relationships with two of our most important Global Systems Integrator partners. You will be responsible for managing day-to-day partnership execution, building joint go-to-market motions, enabling field collaboration, and helping drive customer adoption through coordinated sales, delivery, and transformation initiatives.

This role is highly cross-functional and externally facing, requiring strong relationship management, operational rigor, and the ability to navigate complex enterprise ecosystems. You will work closely with Sales, Solutions, Product, Marketing, Legal, Security, and partner stakeholders to translate strategic partnership priorities into measurable business outcomes.

The ideal candidate combines strong alliances or GSI partnership experience with excellent executive communication skills, operational discipline, and a deep understanding of how large consulting and transformation organizations operate globally.

In this role, you will:

Own the operational and commercial relationship management for Cognizant and Infosys partnerships, helping drive growth, execution, and long-term strategic alignment.

Partner closely with the Head of GSIs to execute partnership strategies, business plans, governance models, and growth initiatives.

Build and manage joint GTM motions with Sales, Solutions, and Marketing teams, including account mapping, pipeline generation, field enablement, executive engagement, and customer pursuits.

Coordinate closely with partner alliance leaders, solution teams, and delivery organizations to accelerate OpenAI adoption across enterprise transformation initiatives.

Support the development of repeatable AI solution offerings, implementation motions, and industry-specific use cases with partner teams.

Drive field-level collaboration between OpenAI sellers and partner account teams to increase pipeline creation, customer adoption, and successful deployments.

Establish strong operating cadence across internal and external stakeholders, including business reviews, pipeline tracking, executive updates, and escalation management.

Collaborate with Product, Engineering, Solutions, Security, Legal, and Commercial teams to support partner-led customer engagements and ensure alignment on technical, compliance, and commercial requirements.

Help enable partner organizations through training, readiness programs, certifications, and solution alignment to strengthen OpenAI expertise within Cognizant and Infosys practices.

Monitor partnership performance against defined goals and KPIs, identify bottlenecks, and proactively drive improvements across execution and delivery.

Represent OpenAI in executive and customer-facing engagements alongside partner stakeholders.

You might thrive in this role if you have:

Significant experience managing strategic alliances, GSI partnerships, channel relationships, or enterprise ecosystem partnerships within enterprise software, cloud, consulting, or AI.

Strong familiarity with large Global Systems Integrators, particularly Cognizant and Infosys, and an understanding of how they operate across enterprise transformation, delivery, and managed services organizations.

Experience building and executing joint GTM motions that drive measurable pipeline, customer adoption, and revenue impact.

Strong cross-functional collaboration skills and the ability to align Sales, Solutions, Product, Marketing, Legal, and partner stakeholders around shared goals.

Strong operational discipline with experience managing business reviews, governance structures, pipeline management, and executive communications.

Technical and product fluency with the ability to engage credibly with technical, delivery, and architecture stakeholders without needing to be hands-on technical.

Experience supporting enterprise AI, cloud, SaaS, or digital transformation initiatives with large global customers.

Excellent communication, relationship management, and executive presentatio]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud, Digital Transformation]]></skills>
    <expirationdate>2026-07-11T21:17:29.585Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Designer - Advertising]]></title>
    <date>2026-05-12T20:51:25.935Z</date>
    <referencenumber>cmpgign2h02iev2xqowosha4o</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-designer-advertising-fed1879e</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[Our mission on the Advertising Product &amp; Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.
Spotify's mission is to unlock the potential of human creativity — giving a million artists the opportunity to live off their art, and billions of fans the chance to be inspired by it. Spotify Advertising supports this mission by helping brands connect with listeners through meaningful, effective ad experiences.

This is a pivotal moment for Spotify Advertising. As we scale globally and evolve into a performance-focused, AI-powered platform, design plays a central role in simplifying complex systems, building trust with advertisers, and driving scalable product growth. Our long-term vision is an intuitive platform embedded in advertiser workflows, powered by automation, measurement, and operational excellence.
 
We're looking for a mid-level product designer to join our Advertising R&amp;D team. You'll own design quality and cohesion across a set of features in Spotify's advertiser-facing tools, working on high-priority areas including campaign creation, audience targeting, reporting, optimization, creative tooling, measurement, and internal platforms. If you enjoy solving complex problems alongside cross-functional partners and are comfortable navigating ambiguous, technical domains (including AI, automation, and experimentation), we'd love to hear from you.
What You'll Do

Design end-to-end user experiences across Spotify's self-serve advertising platform (Ads Manager), contributing to features like ad creation, targeting, reporting, optimization, and measurement.
Work within and contribute to a shared design system used across Ads Manager and internal tools, with attention to component reusability, accessibility, and visual consistency.
Collaborate with engineers to translate backend systems, APIs, and ML-powered features into interfaces that are intuitive and performant.
Partner with PMs, engineers, data scientists, researchers, and content designers to shape product direction, advocate for user needs, and help influence your team's roadmap.
Build prototypes using real data and motion where relevant to explore technical constraints, validate interaction models, and communicate product behavior in dynamic, data-driven environments.
Work alongside researchers and data scientists to identify the right questions to answer, and use insights to deepen your team's understanding of user problems.
Support design efforts on internal tools used by operational teams, helping reduce manual processes and improve the efficiency and reliability of internal workflows.
Contribute to a feedback-rich team culture that values critique, iteration, and craft excellence.

Who You Are

You have experience designing complex, data-intensive B2B digital products. We typically look for around 3+ years of experience, though we value the depth and quality of your work over years alone.
You take ownership of design quality across your squad and can manage priorities effectively when working across multiple features or workstreams.
You have a strong visual design foundation and care about the details that elevate work from functional to excellent.
You connect design decisions to business goals and customer needs, and can advocate for those decisions clearly with stakeholders.
You're curious about AI, whether that's using AI tools in your design workflow, designing AI-powered features, or both.
You're comfortable with ambiguity and bring structure and curiosity to problems where there isn't always a clear path forward.
You actively seek feedback on your work and thinking, and give thoughtful critique in return.
You foster inclusive collaboration: you proactively bring others in and hold space for different perspectives.
Nice to have: Experience designing advertising, monetization, or creative automation tools.
Nice to have: Background in operational tooling or designing for internal users with complex, high-volume workflows.
Nice to have: Experience contributing to or maintaining large-scale design systems.

Where You'll Be

We offer you the flexibility to work where you work best! For this role, it can be within the North America region in which we have a work location.
This team collaborates across the Eastern time zone

The United States base range for this position is $119,424.00 - 170,606.00, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and inter]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[APIs]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[APIs]]></skills>
    <expirationdate>2026-07-11T20:51:25.935Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Model Policy, Frontier Cyber Risk]]></title>
    <date>2026-05-12T19:09:07.446Z</date>
    <referencenumber>cmpgih2rw03h0v2xq21onea8t</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/model-policy-frontier-cyber-risk-3f1d9c5d</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Our Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.

Within Safety Systems, the Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety.

About the Role

Frontier AI systems are rapidly expanding what is possible in cybersecurity and software engineering. These capabilities create major defensive opportunities, but they also raise serious dual-use and misuse risks across areas such as malware development, exploit discovery, vulnerability chaining, credential abuse, cyber intrusion, and autonomous offensive operations.

In this role, you will help define how OpenAI’s models should behave in high-risk cybersecurity contexts. You will develop policy frameworks, threat models, taxonomies, evaluations, and behavioral specifications that guide model behavior across training, deployment, and monitoring systems. This role sits at the intersection of cybersecurity, AI safety, threat modeling, evaluation science, and policy implementation.

You will work closely with research, engineering, safety training, preparedness, and product teams to build policies that are technically grounded, measurable, enforceable, and responsive to real-world cyber risk.

Your Responsibilities:

Design and maintain model policies for cybersecurity and frontier-risk domains, especially dual-use and high-risk cyber capabilities.

Translate cybersecurity threat models into clear behavioral specifications, evaluation criteria, grading guidance, and system-level mitigations.

Define practical boundaries between legitimate security research, defensive workflows, and assistance that could materially enable harmful activity.

Build policy artifacts that support implementation across training, evaluation, deployment, monitoring, and escalation systems.

Partner with safety researchers, engineers, and evaluation teams to operationalize policies into scalable model behavior and measurable safeguards.

Analyze red-teaming results, deployment data, model failures, over-refusals, and ambiguous edge cases to improve policy and evaluation quality over time.

Identify emerging cyber capability areas where advanced AI systems could lower barriers to misuse or increase operational capability for malicious actors.

Contribute to system cards, safety reports, policy documentation, and external communications on OpenAI’s approach to cyber risk mitigation.

We’re Seeking:

Strong technical expertise in cybersecurity, such as offensive security, defensive security, vulnerability research, malware analysis, incident response, threat intelligence, application security, exploit development, infrastructure security, or cloud security.

Strong judgment about how AI systems may affect the cyber threat landscape, including dual-use, autonomous, or agentic system risks.

Ability to distinguish between legitimate security use cases and assistance that could materially enable harmful cyber activity.

Experience building or applying threat models to complex technical systems, especially in adversarial or high-risk environments.

Ability to translate technical security expertise into structured policy frameworks, evaluation criteria, operational guidance, and enforcement mechanisms.

Comfort using empirical evidence, including evaluations, red-teaming results, deployment observations, and model failure modes, to inform policy decisions.

Strong systems thinking across policy, evaluations, classifiers, training, deployment safeguards, measurement, and monitoring.

Ability to work cross-functionally with researchers, engineers, product teams, policy experts, and operational stakeholders.

Strong written communication skills, especially the ability to explain complex technical and security concepts clearly.

A pragmatic approach to safety: focused on reducing real-world risk while preserving legitimate, beneficial, and defensive uses of AI.

Our relevant publications:

Accelerating the cyber defense ecosystem that protects us all

Safety at every step

Safety evaluations hub

GPT‑5.5 System Card

OpenAI Model Spec

Workplace &amp; Location

This role is based in our San Francisco office. We do encourage you to apply even if you prefer a different work location as factors may change over time.

We offer relocation support to new employees, and we use a hybrid model: three days in the office per week with optional work from home on Thursdays and Fridays.

Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, a private outdoor space for working in the sun or socializing, nap rooms, private bike storage, and more.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud]]></skills>
    <expirationdate>2026-07-11T19:09:07.446Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Field Marketing Specialist, Americas]]></title>
    <date>2026-05-12T18:26:19.093Z</date>
    <referencenumber>cmpgihjdo03q4v2xq8cmuucs7</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/field-marketing-specialist-americas-42e1c7ed</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

We are looking for a Field Marketing Specialist to be a key member of the regional marketing team, responsible for planning and executing a wide variety of marketing initiatives. From managing the complex shipping requirements of a trade show booth to ensuring every attendee at an executive roundtable has a seamless experience to guaranteeing all attendee lists are clean, tracked, and shared with the field in a timely manner, you are the person who makes the strategy a reality.

You are detail-obsessed, operationally rigorous, and keen to dive into all aspects of regional marketing.

What You’ll DoProgram Orchestration &amp; Logistics:

Own logistics for high-touch events, executive roundtables, thought leadership roadshows, industry tradeshows, and account-based activations. This includes venue sourcing, contract routing, catering coordination, and AV management.

Ensure operational excellence across event targeting, registration page setup, invitation creation and management, lead list management, and follow up process.

Support budget management across PO creation, invoicing, and spend tracking.

Own the onboarding and management of the global swag and event materials store including vendor relationship management, item selection, and procurement and inventory oversight.

Serve as the on-site lead at regional field events supporting setup, experience flow, vendor troubleshooting, and real-time run-of-show adjustments.

Partner with the team leaders on overall process efficiency workflows and optimizations.

Constantly be researching creative ideas and experimenting with how to bring next-gen experiences to life in our marketing strategy.

Your DNAYou have 2–5 years of experience in event coordination, marketing operations, or project management in a high-growth environment.

You find deep satisfaction in a perfectly organized project plan.

You are a team player who believes that no task is too small if it contributes to a flawless experience.

You are comfortable navigating a modern marketing stack and excited to learn new tools and technologies.

You remain calm under pressure. When a shipment is delayed or a vendor falls through, you are already executing Plan B.

Proven ability to manage third-party agencies, production houses, and high-end hospitality vendors.

Technical &amp; Tactical ToolkitField Presence: Ability to travel (up to 50% in busy periods) to provide on-site support and lead logistics for events.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Logistics]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Logistics, Project Management, Cursor]]></skills>
    <expirationdate>2026-07-11T18:26:19.093Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Machine Learning Engineer, Personalization, Rewards]]></title>
    <date>2026-05-12T17:54:49.835Z</date>
    <referencenumber>cmpgignek02kyv2xqnmowec17</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-machine-learning-engineer-personalization-rewards-354fa422</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[The Rewards team in Personalization (PZN) is defining the next generation of large-scale personalization at Spotify by pioneering novel Reinforcement Learning (RL) methods for Large Language Models (LLMs). We drive massive impact across all recommendations discovery surfaces by moving beyond simple clicks to model and optimize for true long-term user satisfaction. Our core mission is to bridge discovery with lasting listening habits by developing and deploying sophisticated, mid-term behavioral reward signals—such as retention and habit formation metrics—that directly shape the LLM-powered recommendation experience.

We are looking for a Machine Learning Engineer to make impactful changes to our recommendations and discovery algorithms. As an integral part of the squad, you will collaborate with research scientists, data scientists, and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction. 

What You'll Do
Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development.
Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation and discovery systems.
Promote and role-model best practices of ML systems development, testing, and evaluation throughout the organization.
In your first 6 months, you will be responsible for ML development: prototyping models, building pipelines, productizing/scaling models, and launching A/B tests for personalized generative recommendations at Spotify.

Who You Are 
You have a strong background in machine learning and enjoy applying theory to develop real-world applications.
Reinforcement Learning (RL) expertise is key, and experience in RL for recommendations is a must have.
Expertise in statistics and optimization, especially in sequential models, transformers, generative AI, large language models (LLMs are a plus), and relevant fine-tuning processes.

Where You'll Be

This role is based in New York
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home

The United States base range for this position is $184,050- $262,928 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Machine Learning, Reinforcement Learning, LLMs, ML Systems, Generative AI]]></skills>
    <expirationdate>2026-07-11T17:54:49.835Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Platform Product Partnerships Lead]]></title>
    <date>2026-05-12T17:44:10.608Z</date>
    <referencenumber>cmpgih2wb03hwv2xqc3edrpf4</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/platform-product-partnerships-lead-6d9ac4f4</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Role

As a member of the Platform Partnerships team, you will lead some of the most important integrations connecting the world into OpenAI’s flagship products, including Codex and ChatGPT.

This role has enormous impact, as OpenAI users and their agents increasingly interact with third-party services. You will set partnership strategy, craft mutually beneficial commercial and technical agreements, and work closely with product and engineering teams to bring new platform capabilities to market.  You will help decide what gets built, which partners to prioritize and how a new generation of AI-native services come to life.

This role sits at the intersection of product, engineering, partnerships, and ecosystem strategy. The right person is someone who can run deals end-to-end, navigate ambiguity, push product thinking when needed, and move fast with partners and internal teams.

In this role, you will

Lead full lifecycle partnerships, from identifying and prioritizing partners to negotiating terms, closing complex agreements, and driving partner success.

Work directly with Product and Engineering to shape how connectors, agents, and third-party workflows function inside ChatGPT and Codex.

Develop ecosystem relationships to drive deeper engagement across distribution, co-marketing, and product innovation.

Translate partner commercial needs, technical constraints, and market dynamics into program and product recommendations, prioritization calls, and go-to-market plans

Bring structure to ambiguous opportunities and help the team decide where to go deep, move fast, or say no.

Drive aggressive timelines by clearing blockers and aligning  internal and external workstreams.

You might thrive in this role if you

10+ years of experience in product partnerships, product management, or developer relations.

Demonstrated success structuring and negotiating complex commercial and technical deals, with strong negotiation skills with a focus on creative solutions.

Excellent product and technical judgement, and experience building ecosystems or integrations for emerging products.

Self-driven, relationship-oriented, and adept at operating in a fast-changing environment.

Exceptional communication, structured thinking, and program management skills.

Ability to thrive in fast-paced ambiguous environments.

Creativity, adaptability, and a willingness to challenge assumptions.

Strong ability to collaborate with product and engineering leaders and build trust with external partners.

Compensation Range: $266K - $295K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense globa]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, ChatGPT, Product Management]]></skills>
    <expirationdate>2026-07-11T17:44:10.608Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Travel Operations Lead]]></title>
    <date>2026-05-12T17:26:59.159Z</date>
    <referencenumber>cmpgih2ug03hiv2xqnnozazbn</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/travel-operations-lead-99e2239f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Procurement organization enables our mission by ensuring every dollar is spent responsibly, compliantly, and efficiently. As a key part of this function, this role reports to the Head of Travel &amp; Expense (T&amp;E) and partners closely with Procurement Operations, Accounting, Finance, and business stakeholders to own and scale the company's global Events strategy, operations, and compliance.

About the Role

We are looking for a Travel Operations Lead to own and mature the operating model behind OpenAI's executive and employee travel programs. This role will be hands-on in executive travel support while also building the policies, supplier relationships, data, systems, and AI-enabled workflows that allow the program to scale with speed, confidentiality, safety, and control.

This person will oversee high-touch executive travel support, including complex commercial travel globally; manage travel agency and supplier performance; own the executive travel policy; and partner with Executive Business Partners to ensure travelers receive timely, high-quality support. The role will also own core employee travel operations, TMC support, on-the-road escalation management, executive travel reporting for tax and compliance purposes, and guest T&amp;E programs.

What we're looking for:

We are looking for someone who understands the nuance of the travel industry and can operate at scale while continuously improving the system. This person will be hands-on in executive travel support and will own the policy, operation, supplier relationships, and support model that enable safe, efficient, and high-quality travel.

The right person will bring strong operational judgment, high attention to detail, and the ability to adjust policies, programs, and tools as OpenAI scales. They will also bring a practical vision for AI and agentic enablement across the travel support ecosystem, knowing where AI can reduce manual work, where human review matters, and how to build trust in new ways of working.

You bring:

7+ years of experience in travel, executive operations, expense, corporate cards, sourcing, finance operations, or a related T&amp;E role.

High AI fluency, with demonstrated ability to use AI tools to improve how work gets done, reduce manual effort, strengthen analysis, improve documentation, and create scalable operating leverage.

Strong understanding of how the in-trip experience is affected by disruptions, destination risk, traveler context, supplier performance, policy design, booking quality, and support responsiveness.

Ability to improve operational processes through better data, automation, workflow design, and exception-based ways of working.

Strong systems understanding, with the ability to understand how data flows across procurement, travel, finance, tax, card, and reporting platforms.

High attention to detail and a strong sense of ownership for data accuracy, completeness, confidentiality, and consistency.

Ability to identify patterns in operational issues and translate them into better processes, standards, controls, and system improvements.

Practical judgment around AI adoption, including where automation can accelerate work, where human review matters, and how to build trust with travelers and cross-functional partners.

Comfort working across HR, Finance, Accounting, Procurement Operations, Tax, Legal, Security, Executive Business Partners, and business stakeholders.

Clear communication skills and the ability to explain process requirements in a practical, enablement-focused way.

Sound judgment when handling confidential executive travel information, sensitive traveler data, guest information, and supplier performance concerns.

Ability to operate in ambiguity, bring structure to evolving processes, and raise the bar as volume and complexity increase.

Workplace &amp; Location

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Own the executive travel operating model, including support workflows, escalation paths, SLA management, policy ownership, supplier coordination, and program governance.

Lead high-touch executive travel support including complex commercial travel globally, balancing speed, confidentiality, safety, and experience.

Manage the procurement process for executive travel, including supplier engagement, service expectations, documentation, spend visibility, and compliance with procurement and finance requirements.

Own and continuously improve the executive travel policy, translating edge cases into clear standards, practical guardrails, and scalable approval paths.

Partner with Executive Business Partners to optimize support, improve satisfaction, clarify handoffs, and ensure executives and travelers can travel safely and effectively.

Oversee employee travel support related to TMC service delivery, on-the-road support, disruption man]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Flows]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Flows]]></skills>
    <expirationdate>2026-07-11T17:26:59.159Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Program Manager - Technology Capital Builds]]></title>
    <date>2026-05-12T17:15:28.680Z</date>
    <referencenumber>cmpgih2td03hav2xqs4xztms3</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/program-manager-technology-capital-builds-0a066555</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Role:

The Program Manager executes Technology Capital Builds by bridging the gap between Real Estate and Workplace Services, Corporate IT, Corporate Security and other partner teams to design and deliver technical solutions for capital build outs, including new office buildout and remodels, industrial labs, datacenters and secured facilities. This includes all low voltage, ISP connectivity, network infrastructure, audio visual, physical security and related IT scopes of work.

In this role, you will:

Cross-functional coordination between internal teams, construction and related trades and other vendors/service providers

Manage the design, bid, implementation, commissioning and handover process for ISP connectivity, low voltage cabling and network infrastructure (MDF/IDF, MPOEs, inside/outside cabling plant, etc.)

Partner with the ITAV team during the design, bid, implementation, commissioning and handover process for audio-visual/video-conference systems (digital signage, wayfinding systems, conference rooms, training rooms and all hands spaces).

Partner with the Corporate Security team to implement supporting infrastructure and network integration for access control, surveillance systems and intrusion detection

Manage project schedules, status updates, executive communications for the builds portfolio

Develop drawing packages and specification narratives in support of project design and execution

Manage procurement and provide guidance to FP&amp;A on budget and cost management

Identify, categorize, mitigate and monitor project delivery risks

You might thrive in this role if you have:

Strong project and program management capabilities

Strong knowledge of the architectural design process (schematic design, design development, construction documents)

Strong knowledge of commercial real estate construction processes

Excellent written and verbal communication skills

Vendor management experience (Vendor vetting, RFP and bid response, performance management, handover)

Understanding of mechanical power, cooling systems and capacity planning

Ability to read construction and engineering plan drawings

PMP or equivalent project management certification

Compensation Range: $216K - $252K USD

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Project Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Project Management]]></skills>
    <expirationdate>2026-07-11T17:15:28.680Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Solutions Engineer, Large Enterprise]]></title>
    <date>2026-05-12T14:17:25.775Z</date>
    <referencenumber>cmpgih1ao036uv2xqntu9lgfq</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/solutions-engineer-large-enterprise-94a8bf2c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[About the Team

The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer, you’ll help companies across industries transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.

About the Role

We are seeking an experienced pre-sales solutions engineer to partner with our Large Enterprise customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Sales, Customer Success, Security, and Product teams.

This role is based in our London office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.

Demonstrate how leveraging ChatGPT and the OpenAI API can meet customers’ business needs and deliver substantial business value, including, but not limited to, building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.

Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.

Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

You’ll thrive in this role if you:

Have 5+ years of experience in a technical pre-sales role, managing C-level technical and business relationships with complex global organizations.

Have full professional fluency in English.

Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.

Have industry experience in programming languages like Python or Javascript and working with REST APIs.

Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.

Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal o]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[ChatGPT, Python, JavaScript, APIs, Generative AI, Cloud]]></skills>
    <expirationdate>2026-07-11T14:17:25.775Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Head of Events, APAC]]></title>
    <date>2026-05-12T10:18:13.745Z</date>
    <referencenumber>cmpgih1l60394v2xqe8ttykqt</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/head-of-events-apac-d65349f3</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity.

The Marketing Events team is a dynamic and ethos-driven group dedicated to crafting one-of-a-kind and extraordinary experiences that encompass OpenAI’s values and mission. Our team is driven by a deep passion for shining the spotlight on others and bringing people together to connect in meaningful ways.

About the Role

We are seeking a Head of Events, APAC to lead the strategy and execution of OpenAI’s event ecosystem across the Asia-Pacific region — shaping how we bring people together around one of the most transformative technologies of our time. This role defines how events serve as a core engine for marketing, community, and trust, connecting developers, customers, executives, policymakers, creatives, and emerging builders to OpenAI’s mission at scale.

You will operate at both a strategic and operational level, building and scaling a regional events organization capable of delivering world-class programs across diverse markets and cultures. Partnering closely with senior executives and cross-functional leaders, you’ll translate business priorities and product innovation into impactful live experiences — from flagship conferences and executive events to developer programs and community moments that inspire connection and engagement.

At its heart, this role is about leadership and creation. You will mentor and grow a high-performing regional team while fostering a collaborative, can-do culture grounded in craft, creativity, and shared ownership. Success requires balancing long-term vision with a willingness to dive into execution to unblock teams, raise quality, and create memorable experiences that feel distinctly OpenAI.

The ideal candidate is deeply strategic yet operational, independently driven, and energized by bringing people together. You bring strong judgment, executive presence, and a passion for storytelling, design, and guest experience, alongside a belief in technology’s potential to positively impact the world.

This position is based in Singapore and requires regular travel throughout the region and globally.

In this role, you will:

Lead and scale OpenAI’s APAC events organization, managing a regional team of Producers, Event Managers, and contingent workforce partners to deliver programs across India and Southeast Asia.

Translate strategic business priorities into highly-visible and executable event programs, operationalizing experiences of varying scale — from highly energetic flagship moments to targeted community and white-glove executive engagements.

In line with US-operations, establish clear operating models, resourcing frameworks, and production standards that enable consistent, high-quality execution across diverse markets.

Direct end-to-end program delivery through regional teams and partners, ensuring alignment, accountability, and operational excellence across all events.

Build scalable systems, playbooks, and vendor ecosystems that allow OpenAI’s event footprint to grow efficiently without compromising craft or experience quality.

Partner cross-functionally with Marketing, GTM, Product, Policy, and Comms leaders to ensure regional programs advance business goals while strengthening trust and community across APAC.

You might thrive in this role if you:

Bring 10–15+ years of experience leading large-scale, high-impact event programs, typically at a Director level within global or fast-growing organizations.

Are excited by the opportunity to build, scale, and evolve an events organization across diverse markets and stages of growth.

Are deeply curious about artificial intelligence and motivated by technology’s potential to meaningfully improve how people live and work.

Are an exceptional people leader who invests in developing teams, creating clarity, and fostering a high-trust, low-ego culture.

Operate comfortably at both strategic and executional levels, bringing world-class expertise across logistics, production, and operational planning.

Demonstrate strong judgment and calm leadership in complex, fast-moving environments, balancing long-term vision with hands-on problem solving.

Lead with humility, collaboration, and ownership — prioritizing team success and mission impact.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age,]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Logistics]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Logistics]]></skills>
    <expirationdate>2026-07-11T10:18:13.745Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Manager, Solutions Engineering (India)]]></title>
    <date>2026-05-12T06:13:28.502Z</date>
    <referencenumber>cmpgih1r703a6v2xqp1mkzurv</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/manager-solutions-engineering-india-b0c72b59</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[India - Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About the team

The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications. We act as a trusted advisor and thought leader for our customers, ensuring developers and enterprises maximize value from our models and products.

About the role

We are seeking a Sales Engineering leader to own and elevate technical aspects of OpenAI’s sales motion. This role is responsible for ensuring customers realize maximum value, impact, and adoption from our models and platforms. You're a deeply technical, customer-obsessed leader who represents the voice of the customer and unifies our customer-facing technical teams around a cohesive, world-class experience across the entire customer lifecycle.

This role is critical to the success of our go-to-market strategy and will have a meaningful influence on both the direction of our technology in the market and how organizations adopt it. You will oversee technical aspects of the sales process, spanning pre-sales solution design and technical validation. You'll also partner closely with post-sales teams as needed to ensure continuity, trust, and long-term success for our customers.

You will lead and develop a high-performing team of Solutions Engineers who rely on your leadership to deliver exceptional technical expertise, credibility, and customer outcomes. This role works in close partnership with Sales, Solutions Architecture (post-sales), Customer Success, Security, and Product, and reports directly to the Head of Technical Success, APAC.

This role is based in Bangalore.

In this role, you will:

Help craft and continuously refine the strategic vision for OpenAI's Solutions Engineering function, aligning it with broader company objectives and the evolving needs of our diverse clientele.

Lead and mentor a multifaceted team through the entire sales cycle, fostering an environment that promotes seamless customer engagement, maximum adoption, and scalability.

Collaborate with cross-functional teams including GTM, Product, Engineering, and Research, ensuring synergy and cohesion in our customer engagement strategies.

Act as the escalation technical contact for key clients in your sales segment, building trust and a direct line of communication with executive-level stakeholders.

Be a thought leader in the industry, advocating for the effective and innovative application of our AI technologies across various sectors.

Champion a customer-first approach within the organization, inspiring your team to always prioritize client satisfaction and success.

You’ll thrive in this role if you:

Possess deep technical acumen, particularly in AI and related platform technologies, enabling you to engage effectively with technical and non-technical stakeholders alike.

Are experienced in developing and executing large-scale technical success strategies.

Excel in motivating and steering a high-performing team, fostering both individual and collective excellence.

Have experience leading teams spanning across multiple APAC markets and geographies.

Can distill complex technical concepts into clear, comprehensible communication, adaptable to diverse audiences.

Embody a customer-centric philosophy, motivating your team to embrace this ethos.

Demonstrate outstanding presentation and communication skills, particularly when interacting with executive-level individuals.

Approach your work with humility, a collaborative spirit, and a continuous learning mindset.

Are adept at problem-solving, prioritizing effectively under pressure.

Are deeply committed to the ethical and safe advancement of AI technology.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonab]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, Excel]]></skills>
    <expirationdate>2026-07-11T06:13:28.502Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Account Director, Digital Natives & Startups - Japan]]></title>
    <date>2026-05-12T05:27:08.914Z</date>
    <referencenumber>cmpgih2mx03g2v2xq75i1f5uz</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/account-director-digital-natives-startups-japan-daa35193</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Tokyo]]></city>
    <country>ES</country>
    <description><![CDATA[About the team

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy.

You’ll be a key driver of new business opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI.

This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you'll:

Build and manage a pipeline of new business opportunities

Lead our enterprise prospects’ journeys from consideration to successful deployment

Partner with solutions and research engineering to build and execute complex customer programs and projects

Own a consumption revenue target

Analyze opportunity metrics to create reports and provide insights to internal stakeholders

Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies

Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering

Support the recruitment and onboarding of other teammates

Support the development of company culture

We're seeking someone with experience including:

7+ years selling platform-as-a-service and/or software-as-a-service

Achieving revenue targets &gt;$1M per year for more than 3 years

Managing and executing complex sales cycles with enterprise customers

Closing deals with fast-growing, high-performance companies

Working directly with c-level executives

Communicating technical concepts to customers and internal stakeholders

Leading high-visibility customer events (CAB, conferences, product launches, etc.)

Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence

You might thrive in this role if you:

Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor.

Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future.

Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision.

Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions.

Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered f]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Product Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Product Management]]></skills>
    <expirationdate>2026-07-11T05:27:08.914Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Deployment Engineer, Codex | Korea]]></title>
    <date>2026-05-12T05:22:39.325Z</date>
    <referencenumber>cmpgih2er03egv2xq86w7itra</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-deployment-engineer-codex-korea-98ee1731</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Seoul]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.

About the Role

We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.

This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.

This role is based in Seoul. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees

In this role, you will:

Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.

Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.

Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.

Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.

Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.

Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.

Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.

Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.

You might thrive in this role if you:

Have 8+ years of post-sales engineering or solutions architecture, working directly with customers.

Have 2+ years of software engineering experience and a strong understanding of the software development life cycle.

Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.

Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.

Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.

Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.

Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.

Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.

Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, SDLC]]></skills>
    <expirationdate>2026-07-11T05:22:39.325Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Deployment Engineer, Codex | Tokyo]]></title>
    <date>2026-05-12T05:12:04.433Z</date>
    <referencenumber>cmpgih1lt0398v2xqo6k12l50</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-deployment-engineer-codex-tokyo-ae4ebcb0</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Tokyo]]></city>
    <country>ES</country>
    <description><![CDATA[About the teamThe Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.

About the RoleWe are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.

This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.

In this role, you will:Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.

Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.

Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.

Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.

Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.

Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.

Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.

Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.

You’ll thrive in this role if you:Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.

Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.

Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.

Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.

Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.

Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.

Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.

Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the S]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Codex, SDLC]]></skills>
    <expirationdate>2026-07-11T05:12:04.433Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Hardware Health]]></title>
    <date>2026-05-11T21:03:23.567Z</date>
    <referencenumber>cmpgigyz502pkv2xqyhainpdv</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-hardware-health-7f02a57c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe Hardware Health and Observability team owns the end-to-end health lifecycle of OpenAI’s global compute fleet.

Our mission is to maximize healthy, usable compute across accelerator vendors, generations, cloud providers, and regions through reliable health signals, automated remediation, and scalable operational tooling.

We build the systems that observe, detect, remediate, and verify hardware issues across GPUs, CPUs, networking, and platform infrastructure, enabling frontier model training and inference workloads to run reliably at hyperscale. We are the last line of defense for the success of OAI’s production and research workloads.

About the RoleOn the Hardware Health and Observability team, you’ll build critical infrastructure that keeps OpenAI’s largest compute clusters healthy and operational at scale.

Even small numbers of unhealthy systems can impact large-scale training and inference workloads. This team focuses on minimizing downtime, improving fleet efficiency, and ensuring compute resources remain continuously available to researchers and product teams.

Engineers on this team own problems end-to-end, from defining health signals and debugging failures to building automated remediation systems that operate across millions of GPUs globally.

In this role, you will:

Define and maintain health signals across GPUs, CPUs, networking, and platform infrastructure.

Build and evolve health checks that detect, remediate, and verify failures at scale.

Ensure critical health checks execute with minimal latency to maximize workload uptime.

Investigate hardware failures and system-level issues across large-scale compute environments.

Own node lifecycle workflows including drain, quarantine, repair, RMA, and return-to-service processes.

Build automation and tooling that enables global cluster management with minimal manual intervention.

Partner with workload, reliability, and provider teams to integrate health signals into training and inference systems.

You might thrive in this role if you have:7+ years of industry experience in software or infrastructure engineering.

Strong proficiency with Python and shell scripting.

Experience building large-scale distributed systems or infrastructure platforms.

Comfort digging into noisy operational data using SQL, PromQL, or similar tooling.

Experience building reproducible analyses and operational tooling.

Strong systems debugging and operational instincts with an ownership mindset.

Bonus if you have:Experience with low-level hardware systems and Linux tooling (e.g. PCIe, InfiniBand, RoCE, networking, power management, kernel performance tuning, FW/SW debugging).

Experience operating or debugging large-scale GPU or accelerator clusters.

Expertise in network operations, observability, or systems telemetry.

Experience with automated remediation systems or fleet lifecycle management.

Experience improving reliability, utilization, or workload uptime in distributed compute environments.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify Op]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cloud, GPUs, Python, Distributed Systems, SQL, Linux]]></skills>
    <expirationdate>2026-07-10T21:03:23.567Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Counsel, Public Sector]]></title>
    <date>2026-05-11T20:10:34.403Z</date>
    <referencenumber>cmpgih2t503h8v2xq3ebryae6</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-counsel-public-sector-f1004330</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Washington]]></city>
    <country>ES</country>
    <description><![CDATA[About the Role

We’re seeking a lawyer to support our growing OpenAI for Government business, including compliance and contracting issues related to our government business line.  This role will support a wide range of issues relating to the sale of information technology services to governments, including matters related to facilities clearance and security compliance requirements, transactions and contract management, bid protests, contract performance, pre/post strategy, systems building, claims and disputes, compliance management, etc.  This person needs to be a do-er who can jump between issues in a broad portfolio.

Role and Responsibilities

This counsel will be dedicated to supporting legal issues related to our OpenAI for Government business line, supporting US federal, state and local government, and international sales.

Work collaboratively with subject matter experts across the legal team on cutting-edge issue relating to artificial intelligence products.

Scale legal support through innovative application of AI tools and other automation mechanisms.

Areas of responsibility will include:

Federal Acquisition Regulation (FAR) Compliance

Contract Review and Negotiation

Bid Protests and Claims Management

Ethics and Compliance tailored to federal contracting

Data Privacy and Security Compliance, including security requirements such as NIST 800-171, CMMC, or FISMA

Lobbying and government affairs restrictions

False Claims Act (FCA) Risk Management

Supply Chain Management and Flow-Down Requirements

Audits and Reporting Obligations

Skills &amp; Experience

10+ years experience.

In-house experience at a technology company that does significant business with the government.

Experience negotiating complex technology transactions with government customers, including federal, state and local, and international customers

Broad knowledge of government procurement regimes, including FAR and federal contracting.

Experience advising on government contracting compliance issues.

Experience scaling legal support through automation, particularly using AI tools.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-10T20:10:34.403Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Accounts Payable Analyst]]></title>
    <date>2026-05-11T20:00:11.285Z</date>
    <referencenumber>cmpgigmak02ckv2xqk4xpq8e0</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/accounts-payable-analyst-50bd7c5b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[You’ll join Spotify’s Finance team, supporting our Procure-to-Pay (PTP) operations across North America. This team plays a key role in ensuring our financial processes run smoothly at scale—partnering closely with teams across Finance, Tax, Treasury, and beyond. Your work will help maintain the accuracy of our financial records while contributing to improvements that make our systems smarter and more efficient.
What You'll Do

Support accounts payable operations, including invoice processing, payments, and vendor management across the PTP cycle
Contribute to month-end close activities such as accruals, journal entries, reconciliations, and reporting
Maintain accurate subledger records and support vendor master data updates and data quality
Partner with internal stakeholders across Finance, Tax, Treasury, and Financial Engineering to resolve issues and improve processes
Engage with vendors and internal teams, providing clear and professional communication
Contribute to process improvement initiatives and support new business needs as they arise
Use automation and AI tools to improve efficiency, accuracy, and scalability of AP processes

Who You Are

You have a Bachelor’s degree in Accounting or a related field
You have 2+ years of experience in accounts payable or a similar finance role
You are experienced working with ERP systems and financial tools
You are comfortable working with large datasets and using Excel to analyze data
You know how to prioritize your work and meet deadlines in a fast-paced environment
You communicate clearly and collaborate effectively with a range of stakeholders
You care about accuracy and take pride in maintaining high-quality financial data
You are curious and open to improving processes, including using automation or AI
You adapt well to change and can navigate evolving priorities

Where You'll Be

This role is based in New York City
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 2 times per week.

The United States base range for this position is $66,189–$94,556USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Excel]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Excel]]></skills>
    <expirationdate>2026-07-10T20:00:11.285Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Researcher, Alignment Oversight]]></title>
    <date>2026-05-11T19:47:31.478Z</date>
    <referencenumber>cmpgih2uq03hkv2xqv2ehr6vv</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/researcher-alignment-oversight-f1b0fc67</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe Alignment Oversight team at OpenAI develops techniques for improving control, accountability, and alignment as AI systems become more capable and agentic.

We combine longer-horizon research with hands-on deployment. We study long-term questions about how increasingly intelligent systems can be supervised, constrained, and corrected, while also building oversight systems that are used in practice today, both internally and externally (see our recent work on code review and action monitoring for codex).

We also study how to learn from real-world deployments: using oversight data and human interventions to train future models to be more aligned, while preserving the effectiveness and independence of the oversight systems themselves.

About the RoleAs a researcher on the Alignment team, you will design and run experiments that improve our ability to oversee increasingly capable models. You will work on hands-on model training, evaluation design, and research infrastructure, and translating promising oversight ideas into systems that can operate on real model traffic and real user workflows.

This role combines longer-horizon research with shorter deployment sprints, with projects typically scoped around 3-6 month research timelines and aimed at directly improving future model behavior.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:Design and implement alignment experiments focused on oversight systems for increasingly agentic AI models.

Deploy practical systems for action monitoring, red-teaming, and human-in-the-loop control.

Develop evaluations for alignment failure modes of the frontier models such as overeagerness, instruction following failures, covert actions, avoiding restrictions and scheming propensity.

Analyze deployment data to understand model failures, oversight gaps, and opportunities for training more aligned models.

Develop techniques for feeding oversight signals back into training while preserving the reliability and independence of the oversight process.

Produce externally publishable research when results advance the broader science of alignment.

Collaborate across research, product, security, safety, and engineering teams to turn alignment ideas into working systems.

Move quickly from research intuition to working experiments, prototypes, and evidence that can shape future models.

You might thrive in this role if you:Have strong hands-on experience training, evaluating, or debugging large ML models, especially LLMs.

Have experience with reinforcement learning, post-training, preference optimization, scalable oversight, model evaluation, or adjacent empirical ML research.

Have strong engineering execution and can turn ambiguous research ideas into reliable experiments, tools, training pipelines, and production-facing systems.

Have research intuitions for what experiments are likely to teach us something, while staying grounded in implementation details and empirical results.

Are a team player - willing to do a variety of tasks that move the team forward.

Enjoy fast-paced, collaborative research environments where priorities shift as models and evidence change.

See safety and usefulness as coupled goals.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Codex, LLMs, Reinforcement Learning]]></skills>
    <expirationdate>2026-07-10T19:47:31.478Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Executive Assistant - Trust & Safety]]></title>
    <date>2026-05-11T19:20:43.917Z</date>
    <referencenumber>cmpgigmrf02fyv2xqfbvftxop</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/executive-assistant-trust-safety-9def47f9</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[You’ll join Spotify’s Trust &amp; Safety team based in New York. This team plays a critical role in protecting our users, creators, and platform by working across policy, operations, legal, and product to address complex safety challenges. In this role, you’ll act as a key operational partner to senior leadership—supporting high-impact work that often involves sensitive topics, fast decision-making, and cross-functional coordination.
What You'll Do

Manage complex, fast-moving calendars across multiple time zones, ensuring leaders stay focused on critical Trust &amp; Safety priorities

Build high-quality presentations and briefing materials for internal leadership, cross-functional partners, and external stakeholders

Prepare leaders for meetings by developing agendas, synthesizing inputs, and ensuring clarity on key decisions and actions

Support planning and logistics for internal and external Trust &amp; Safety engagements, including sensitive or high-priority discussions

Manage inbox communications, prioritizing time-sensitive and confidential matters and drafting responses when needed

Track key initiatives, risks, and deadlines, acting as a central coordination point across multiple workstreams

Arrange business travel, including detailed itineraries aligned with leadership priorities

Manage expense reporting and ensure compliance with internal policies

Take on operational projects that improve team workflows, documentation, and efficiency

Serve as a trusted point of contact for internal teams and external stakeholders, handling interactions with professionalism and care

Who You Are

You have 5+ years of experience supporting senior leaders in a fast-paced, high-stakes environment

You are highly skilled in building clear, structured presentations (Google Slides or similar) for executive audiences

You handle sensitive and confidential information with a high level of discretion and sound judgment

You communicate clearly and adapt your approach across different audiences and levels of seniority

You are highly organized and comfortable managing multiple priorities with strong attention to detail

You build strong, collaborative relationships across teams and functions

You take initiative and anticipate needs, solving problems before they arise

You are comfortable navigating ambiguity and working across multiple workstreams

You manage your time effectively and adapt quickly as priorities shift

You are experienced with Google Workspace and collaboration tools such as Slack

You are open to occasional travel as needed

You bring a calm, steady approach and thrive in dynamic, sometimes high-pressure environments

Where You'll Be 

This role is based in New York, NY

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

We ask that you come in 1-2 times per month

The United States base range for this position is $92,933–132,762 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Logistics]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Logistics, Google Slides, Google Workspace, Slack]]></skills>
    <expirationdate>2026-07-10T19:20:43.917Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Executive Assistant - Government Affairs]]></title>
    <date>2026-05-11T16:24:50.497Z</date>
    <referencenumber>cmpgigmqz02fuv2xq2iuce4vy</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/executive-assistant-government-affairs-e1e73a4b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Washington D.C.]]></city>
    <country>ES</country>
    <description><![CDATA[You’ll join Spotify’s Global Government Affairs and Public Policy team, and will be based in Washington, DC. This team works closely with policymakers, regulators, and industry partners to help shape policy conversations that impact creators, users, and the broader digital ecosystem. In this role, you’ll act as a key operational partner to senior leadership—helping drive coordination, communication, and execution across a fast-moving and highly visible environment.
What You'll Do

Manage complex, fast-moving calendars across multiple time zones, ensuring leaders are focused on high-priority government and policy engagements

Build high-quality presentations and briefing materials for internal leadership, policymakers, and external stakeholders

Prepare leaders for meetings by developing agendas, compiling background materials, and ensuring alignment on key messages

Coordinate policy meetings, stakeholder engagements, and internal briefings with strong attention to detail

Support logistics for external engagements and events in Washington, DC, including coordination with venues, security, and cross-functional partners

Support inbox and communications management, prioritizing time-sensitive requests and drafting responses when needed

Track key policy priorities, deadlines, and deliverables, ensuring follow-through across multiple workstreams

Arrange business travel, including detailed itineraries for policy-related engagements

Manage expense reporting and ensure compliance with internal policies

Take on operational projects that improve team efficiency, including workflow optimization and documentation

Serve as a reliable point of contact for internal teams and external stakeholders, representing Spotify with professionalism and care

Who You Are

You have 5+ years of experience supporting senior leaders, ideally in government affairs, policy, or a related environment

You are highly skilled in building clear, compelling presentations (Google Slides or similar) for executive and external audiences

You handle sensitive and confidential information with discretion and strong judgment

You communicate clearly and can adapt your style for different audiences, including senior leaders and external stakeholders

You are highly organized and comfortable managing multiple priorities in a fast-paced, detail-oriented environment

You build strong relationships and collaborate effectively across teams and functions

You are proactive and anticipate needs, solving problems before they arise

You are comfortable operating across multiple workstreams and connecting the dots between them

You manage your time effectively and adjust quickly as priorities shift

You are experienced with Google Workspace and collaboration tools such as Slack

You are open to occasional travel as needed

You bring a steady, reliable approach and thrive in dynamic environments

Where You'll BeThis role is based in Washington, DC
The United States base range for this position is $92,933–132,762 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Logistics]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Logistics, Google Slides, Google Workspace, Slack]]></skills>
    <expirationdate>2026-07-10T16:24:50.497Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Legal Counsel - Product]]></title>
    <date>2026-05-11T16:00:22.885Z</date>
    <referencenumber>cmpgigmww02h6v2xqwphscbgk</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/legal-counsel-product-bee62554</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[Spotify seeks an outstanding, highly-motivated attorney to serve as Legal Counsel, Product. As a product counsel at Spotify, you will partner with and provide guidance to our product and business teams on global, cutting-edge issues in an exciting, fast-paced environment.
 
What You'll Do
Partner with the product and business teams at Spotify throughout all stages of product development, including ideation, design, testing and launch
Advise on new and innovative products, features and formats across all markets where Spotify is available, including AI systems
Provide legal guidance on AI-specific regulation (such as the EU AI Act) and other global regulations, including laws regarding consumer protection, privacy and data protection, content, intellectual property, online safety, minor protection, and other legal issues relevant to digital products
Conduct legal reviews in connection with expansion into new markets and ensure our products comply with legal developments in existing markets, including evolving standards for AI transparency and safety
Draft and negotiate contracts, including for third-party software and technology procurement as necessary to support the development of new features and formats
Establish and maintain all product-related legal documentation, such as terms of service, platform policies and consumer and creator messaging
Maintain a proficient understanding of international legal and policy developments that may affect Spotify’s business
Improve our standard form agreements and legal processes that help us scale globally with a consistent but locally-relevant approach

Who You Are
You have a J.D., LL.M. or equivalent, with admission to at least one bar (or qualification for registered in-house counsel in New York or Sweden)
You have 5+ years of relevant experience working in a law firm and/or in-house legal department
You are experienced in product counseling for technology products
You are excited about new technologies, in particular AI-based systems
You have a strong working knowledge of legal issues relating to digital products, technology, privacy, intellectual property, content and platform liability, consumer protection, media and AI
You have a strong track record of working with a wide range of commercial agreements
You are solutions oriented and self-motivated, with a willingness to dig into the details of projects
You are highly collaborative and work well with both legal and non-legal stakeholders
You take a practical, business-oriented approach to problem-solving and provide pragmatic, commercial and timely advice
You are comfortable with ambiguity and change
You have experience partnering with global stakeholders, including external counsel

Where You'll Be
This role is based in New York, or Stockholm
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 2-3 times per week. 

The United States base range for this position is $170,366 to $243,380, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-10T16:00:22.885Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Deployment Engineer, Startups]]></title>
    <date>2026-05-11T04:18:59.904Z</date>
    <referencenumber>cmpgih2s603h2v2xqyg0xu94y</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-deployment-engineer-startups-ff53100c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Sydney]]></city>
    <country>ES</country>
    <description><![CDATA[About the team

The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior.

This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems.

About the role

We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction.

This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice.

This role is based in our Sydney office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement.

Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value.

Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development.

Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases.

Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement.

Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.

You’ll thrive in this role if you:

Have strong software engineering &amp; AI fundamentals. For example, experience as a software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus.

Have familiarity with, or interest in, model training pipelines and reinforcement learning.

Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows.

Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals.

Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration.

Communicate clearly across technical and non-technical audiences.

Bring high agency, strong product sense, and a bias toward building durable improvements rather than one-off fixes.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Reinforcement Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Reinforcement Learning]]></skills>
    <expirationdate>2026-07-10T04:18:59.904Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Productivity - Inference Runtime]]></title>
    <date>2026-05-10T17:33:59.627Z</date>
    <referencenumber>cmpgih2u603hgv2xqd3sfdepg</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-productivity-inference-runtime-60e95c2f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamWe’re hiring a Developer Productivity engineer to support OpenAI’s Inference Runtime teams. These teams own the systems responsible for serving models reliably, efficiently, and safely across Codex, ChatGPT, API, and internal research workloads. We’re hiring a Developer Productivity Engineer to help scale the engineering systems, safeguards, and developer workflows that enable our teams to move quickly without compromising reliability or performance.

This role sits at the intersection of developer experience, CI/CD infrastructure, release engineering, production readiness, and inference systems reliability. You’ll work on the tooling and operational foundations that support model launches, inference optimizations, cloud provider integrations, and large-scale deployments across a rapidly evolving inference stack.

About the RoleWe’re looking for an autonomous, high-ownership engineer who cares deeply about making other engineers faster, safer, and more confident.

A major focus of this role will be improving the tooling and infrastructure around deploy gates for inference engine images. These systems help ensure that every image released to production and research is correct, numerically sound, free of regressions, and performant across key metrics like time-to-first-token (TTFT) and time-between-tokens (TBT).

You’ll help harden the systems that catch issues before they reach production, reduce noise from flaky or infrastructure-related test failures, and improve automation around triage, ownership, debugging, and escalation when failures occur. You’ll also work on improving observability, rollout safety, release automation, and developer self-service tooling across a rapidly evolving inference stack.

This is not generic internal tools work. The systems you build directly impact OpenAI’s ability to support new model launches, safely ship inference optimizations to the world, onboard new infrastructure providers, and operate one of the largest and most performance-sensitive inference platforms in the world.

In this role, you will:

Improve systems that ensure inference engine releases are correct, performant, and regression-free by evolving tooling and infrastructure for deploy gate validation

Bring rigor to release, validation, branching, and deployment processes across the inference stack

Improve canary, async, and large-scale validation workflows for inference systems

Harden CI, testing, and validation infrastructure so failures are actionable and trustworthy

Reduce noisy or flaky failures caused by infrastructure instability, GPU scheduling, or test environment issues

Build automation for failure triage, ownership detection, debugging, and escalation

Partner closely with inference teams, research developer productivity, engine acceleration, and infrastructure teams to improve release quality and rollout safety

Reduce developer friction in testing, debugging, and release workflows so engineers can move faster with confidence

You might thrive in this role if:You have strong experience with CI/CD systems, testing infrastructure, release tooling, developer productivity, or large-scale build and validation systems

You are excited by high-impact infrastructure where small regressions in correctness, latency, or reliability meaningfully affect production systems

You care about building systems engineers can trust, not just systems that technically function

You have strong developer empathy and enjoy improving workflows, reducing friction, and making engineers more effective

You demonstrate high ownership and proactively identify problems, drive improvements, and follow issues through resolution

You are comfortable working in Python-heavy environments and debugging complex distributed systems

You enjoy building automation that reduces manual triage, improves signal quality, and scales operational effectiveness

You are comfortable operating in ambiguous areas without a fully predefined roadmap

You enjoy partnering closely with engineers to understand workflows, pain points, and operational challenges

You are pragmatic, collaborative, and motivated by helping teams move faster with more confidence

You are excited to learn about large-scale inference systems, even if you have not worked directly on inference before

Python experience is highly relevant, as much of the current deploy gate and validation infrastructure is Python-based. C++ experience is helpful, especially for working near inference engine code, CI build issues, or performance-sensitive systems, but it is not required.

Prior inference experience is not required. 

The ideal candidate is someone with strong instincts around developer productivity, testing, release engineering, and automation who is excited to apply those skills in a deeply impactful inference environment. We’re looking for someone who is technically curious, comfortable navigating ambiguous, cross-functional operational problems, and is motivated to]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Codex, ChatGPT, CI/CD, Cloud, Python, Distributed Systems]]></skills>
    <expirationdate>2026-07-09T17:33:59.627Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Quality Engineer - Rack Infrastructure & Site Operations - Stargate]]></title>
    <date>2026-05-08T22:18:46.518Z</date>
    <referencenumber>cmpgigzt202w8v2xq119kdahy</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/quality-engineer-rack-infrastructure-site-operations-stargate-ae7f0051</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Industrial Compute team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance.

We work closely with manufacturing partners, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service.

About the Role

We are seeking an experienced Quality Engineer (QE) to drive Product and Site Quality initiatives across OpenAI’s infrastructure ecosystem. In this role, you will establish, implement, and manage a comprehensive, quality-focused program across our global supply chain network, ensuring excellence from design through deployment.

You will be responsible for end-to-end quality of finished products, as well as maintaining and elevating manufacturing site quality standards. Working cross-functionally with Design (NPI) and Engineering teams, you will help achieve First Pass Yield (FPY), quality, and reliability targets. This includes leading site and fixture validation efforts, driving yield improvement initiatives (Yield Bridge, CPI), and implementing robust corrective and preventive actions (CAPA) to resolve issues at their root cause.

In addition, you will play a key role in supplier quality management, assessing and qualifying new vendors, overseeing ongoing supplier performance, and ensuring readiness for future business awards. You will lead vendor audits, monitor key performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced operational risk, and high system reliability.

By partnering closely with external suppliers and internal Engineering and Operations stakeholders, you will help ensure OpenAI’s datacenter infrastructure is delivered on time, meets the highest quality standards, and supports reliable, scalable operations.

Key Responsibilities

Develop and establish a datacenter-focused manufacturing quality program that supports global deployment schedules.

Conduct vendor capability assessments, quality audits, and improve vendor performance across production, testing, and delivery phases.

Develop and track quality metrics to assess manufacturing performance and identify trends and work to refine processes, training, and quality controls to mitigate deployment risks.

Establish effective cross-functional communication between manufacturing sites, datacenter design teams, and operations.

Collaborate with engineering, sourcing, and site operations to establish quality processes and standards with project goals.

Mentor supplier teams and provide structured feedback to drive continuous improvement.

Audit quality activities at supplier sites to verify compliance with requirements and lead corrective and preventive action plans for audit findings and quality nonconformances.

Facilitate root cause analysis and drive systemic process improvements for recurring manufacturing issues and DC quality and reliability issues.

Travel

Domestic and international travel as needed (estimated 30%) to manufacturing sites, datacenter locations, and partner facilities.

Minimum Qualifications

10+ years in manufacturing quality management, supplier quality engineering, process improvement, or datacenter engineering/operations.

Bachelor’s degree in engineering, manufacturing, construction management, or related field (or equivalent work experience).

Demonstrated ability to analyze data, solve problems, and improve manufacturing processes.

Proven track record managing deliverables for complex projects or supplier programs.

Strong communication skills with experience influencing both technical and executive audiences.

Preferred Qualifications

Technical knowledge of datacenter infrastructure systems, including mechanical, electrical, and compute components.

Experience in supplier performance management for mission-critical facilities.

ASQ Certified Quality Engineer, Quality Manager, Quality Auditor or Lean Six Sigma certified Green Belt.

PMP or equivalent project management certification.

Experience in industrial or high-volume manufacturing environments.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation,]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Project Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Project Management]]></skills>
    <expirationdate>2026-07-07T22:18:46.518Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Design Verification, Forward Deployed Engineering]]></title>
    <date>2026-05-08T21:03:26.319Z</date>
    <referencenumber>cmpgih2sp03h6v2xqcbdrls97</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/design-verification-forward-deployed-engineering-8e45a119</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamOpenAI’s Forward Deployed Engineering team partners with leading semiconductor companies to deploy production-grade AI systems across the entire chip design lifecycle: design, verification, and physical design. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into systems that materially reduce design cycles, improve verification quality, and accelerate innovation.

Our work turns early, high-touch deployments into reusable solution patterns, evaluation practices, and technical playbooks that scale across the semiconductor ecosystem.

About the RoleWe are seeking an experienced Design Verification Engineer to join our semiconductor-focused Forward Deployed Engineering team. This is an IC role that will begin with a strong emphasis on design verification expertise, evaluation curation, and technical leverage across deployments, with the expectation that the person will grow into a broader Forward Deployed Engineering role over time.

In the near term, you will serve as a senior technical SME for verification workflows: helping FDEs, Product, and Research teams understand how DV work is done in practice, pressure-testing AI-assisted verification ideas against real engineering workflows, and raising the quality of our solutions through deep domain judgment. You will help the broader team build fluency in verification methodology, tooling, and trade-offs.

Over time, we expect this role to expand beyond SME support into broader FDE ownership: partnering directly with customers, shaping deployment strategy, building and iterating production-grade AI systems, driving technical workstreams, and helping turn high-touch semiconductor deployments into repeatable solutions.

This is a strong fit for someone who brings deep design verification expertise today and is excited to grow into a customer-facing, systems-building, delivery-oriented FDE role.

In this role, you will:Serve as the design verification SME for semiconductor deployments, helping teams reason about verification workflows across block, subsystem, and SoC environments

Shape AI-assisted workflows for test generation, regression triage, debug, root-cause analysis, and coverage closure

Curate evaluations with FDEs and customer SMEs, including golden tasks, labeled examples, rubrics, acceptance criteria, and realistic benchmarks grounded in solved issues and real engineering workflows

Build lightweight prototypes, eval harnesses, and tooling that validate opportunities and improve solution quality

Educate and mentor the broader FDE team on verification concepts, tooling, and methodology so the org can engage semiconductor workflows with greater depth and confidence

Partner with FDEs during customer discovery and scoping to translate ambiguous pain points into clear solution hypotheses, success criteria, and technical plans

Support customer-facing technical conversations as a trusted advisor, engaging credibly with technical leaders

Progressively take on broader FDE responsibilities, including customer discovery, solution architecture, prototype development, production deployment, and ownership of technical workstreams

Minimum Qualifications:BS/MS in EE, CE, CS, or equivalent with 5+ years of experience in design verification for complex IP, subsystem, or SoC programs

Demonstrated success verifying complex hardware systems in industry-standard flows, with deep familiarity in block-, subsystem-, and/or top-level verification methodologies

Strong hands-on expertise in SystemVerilog, UVM, and common simulation/debug tools such as VCS, Questa, Verdi, or equivalent

Strong understanding of constrained-random verification, directed testing, scoreboards, checkers, monitors, stimulus generation, regression infrastructure, and coverage analysis

Strong knowledge of computer architecture, RTL/microarchitecture, memory systems, coherency, interconnects, and verification methodology

Experience defining verification plans, triaging bugs, and driving debug and root-cause analysis in close partnership with design teams

Strong scripting and automation skills in Python or similar; experience building verification tooling, harnesses, or workflow automation is a plus

Comfortable operating as a consultative expert who can shape technical direction, evaluate solution quality, and raise the bar across multiple deployments

Excited to grow beyond domain SME responsibilities into a broader Forward Deployed Engineering role, including hands-on solution building, customer-facing delivery, and ownership of deployment outcomes

Preferred Qualifications:Experience across multiple semiconductor companies, design environments, or tool stacks, with a point of view shaped by different verification cultures and methodologies

Familiarity with adjacent domains such as RTL design, formal verification, emulation, performance analysis, or physical design

Experie]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Flows]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Flows, Python]]></skills>
    <expirationdate>2026-07-07T21:03:26.319Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[APAC Sales Development Leader]]></title>
    <date>2026-05-08T20:58:10.695Z</date>
    <referencenumber>cmpgih2sg03h4v2xq4fxl0zld</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/apac-sales-development-leader-010b7bd0</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About the team

OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business—from ChatGPT Enterprise to our developer platform and APIs.

We partner with organizations across Financial Services, Life Sciences, Retail, Manufacturing, Technology, and other key industries across Asia Pacific to build AI-powered customer experiences, transform operations, and accelerate innovation. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments.

Sales Development sits at the front of this motion—where technical curiosity becomes executive engagement and OpenAI’s enterprise relationships begin.

About the role

We are hiring a APAC Sales Development Leader to build and lead OpenAI’s enterprise Sales Development organization across Asia Pacific. Reporting directly to the Head of Global Sales Development, this role is a core part of the Enterprise GTM leadership team.

This is a high-impact leadership role focused on scaling pipeline generation and market development across a diverse and rapidly growing region. You will define how OpenAI engages enterprise customers across APAC, build regional SDR leadership and teams, and create the operating model that converts product interest, developer activity, and inbound demand into high-quality pipeline for our Enterprise and Strategic Accounts organizations.

In this role, you will

Build and scale OpenAI’s APAC Sales Development organization, including hiring strategy, org design, enablement, and performance management.

Lead and develop front-line SDR managers and SDR teams across key APAC markets.

Own the regional enterprise pipeline generation strategy, ensuring consistent, high-quality opportunity creation across the region.

Translate product usage, pilots, developer engagement, and inbound interest into qualified enterprise opportunities.

Develop localized and vertical-specific SDR motions tailored to APAC markets and buying environments.

Partner closely with Sales, Marketing, Field Engineering, Partnerships, and Strategy &amp; Ops to drive a coordinated regional GTM motion.

Establish scalable outbound, inbound, ABM, partner-led, and product-led pipeline generation playbooks.

Build a data-driven operating cadence focused on pipeline quality, conversion, velocity, and long-term revenue impact.

Help define OpenAI’s market expansion strategy across APAC, including investment prioritization and territory planning.

Serve as a strategic partner to regional sales leadership on how to capture and accelerate enterprise demand.

You may thrive in this role if you

Have 10+ years of experience in enterprise sales, revenue, or GTM leadership.

Bring significant experience leading SDR or pipeline generation organizations across APAC.

Have experience managing distributed, multicultural teams across multiple countries and time zones.

Have built or scaled enterprise demand generation engines in fast-growing technology or platform businesses.

Are fluent in product-led and usage-based GTM motions (PQLs, pilots, free-to-paid, expansion).

Understand the complexity and nuance of enterprise selling across APAC markets.

Are highly data-driven, with strong experience in forecasting, pipeline analytics, and operational rigor.

Thrive in matrixed organizations spanning Sales, Product, Marketing, Partnerships, and Operations.

Are an exceptional talent builder with the ability to coach leaders and influence senior stakeholders.

Bring strong executive presence and the ability to engage with enterprise customers and partners across the region.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, APIs]]></skills>
    <expirationdate>2026-07-07T20:58:10.695Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Technical Operations Lead]]></title>
    <date>2026-05-08T20:41:17.755Z</date>
    <referencenumber>cmpgignob02mwv2xq04tlx7j1</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/technical-operations-lead-c6d05083</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[Sell what you love. For us and millions of users across the globe, that’s Spotify. Join the Sales team and you’ll build the relationships that help grow our business in existing markets and beyond. We don’t just sell creative solutions to our clients and partners, we help to shape them; using our expert knowledge of ad products, sales channels and the industry to impact the way the world experiences music and podcasts. 
We are looking for a Technical Support Operations Lead to partner closely with our vendor Technical Support teams. These teams support advertisers, sales partners, and internal stakeholders by resolving bugs, incidents, and platform issues. In this role, you’ll handle escalations, support day-to-day operations, and help build a high-quality technical support function. You’ll act as a bridge between customers and engineering, helping resolve issues efficiently and improving the overall support experience.
What You'll Do

Lead the day-to-day operations of vendor Technical Support teams, ensuring timely and accurate resolution of technical issues across advertiser and internal requests
Serve as the primary escalation point for complex technical issues, troubleshooting and resolving problems before escalating to Engineering where possible
Partner with Product and Engineering to prioritize and resolve bugs, and support the incident management process with clear and actionable information
Build and improve escalation workflows and processes to ensure efficient communication between support, product, and engineering teams
Identify recurring issues and root causes, and advocate for long-term fixes that improve platform stability and reliability
Own and maintain the technical knowledge base, troubleshooting guides, and escalation documentation to ensure clarity and usability
Identify skill gaps within the support team and support onboarding and ongoing learning programs in partnership with vendor training teams
Review support cases to identify trends, improve quality, and enhance support effectiveness
Collaborate cross-functionally with Product, Engineering, Product Marketing, Sales Systems, and other teams on launches, known issues, and improvements

Who You Are 

You have 5+ years of experience in technical support operations, solutions engineering, technical program management, or a similar role
You have experience working with global vendor support teams across multiple time zones
You bring strong technical knowledge, including familiarity with ad serving, pixels, conversion tracking, APIs, debugging tools, and web technologies such as HTML and JavaScript
You can interpret technical documentation, bug reports, and engineering tickets, and translate them into clear guidance for a range of audiences
You take a proactive approach to identifying patterns, solving problems, and improving processes
You are detail-oriented and organized, with a focus on maintaining high-quality documentation and workflows
You communicate clearly and collaborate effectively across technical and non-technical teams

Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the Eastern Standard time zone.

The United States base range for this position is $91,395–$130,564 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[APIs]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[APIs, HTML, JavaScript]]></skills>
    <expirationdate>2026-07-07T20:41:17.755Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Leasing & Strategy Manager, Real Estate & Workplace]]></title>
    <date>2026-05-08T20:29:37.259Z</date>
    <referencenumber>cmpgih1ne039iv2xqoe3bdypg</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-leasing-strategy-manager-real-estate-workplace-36d4101f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamAt OpenAI, our Real Estate &amp; Workplace (REW) team builds and manages the environments that power our innovation. We create spaces that are efficient, scalable, and aligned with our mission — from strategic leasing decisions to the systems that keep our workplaces running smoothly. Joining this team means helping shape the environments where world-changing technology is built.

  About the RoleWe’re looking for a Senior Leasing &amp; Strategy Manager to lead high-impact projects and shape the strategic direction of OpenAI’s global real estate portfolio. You’ll partner with the Leasing and Transactions team to own the full lifecycle of lease transactions, with a strong emphasis on detailed lease review, financial analysis, and portfolio strategy. You’ll also evaluate new opportunities, manage risks, and ensure all leasing decisions align with OpenAI’s long-term business objectives.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

You’ll thrive here if you’re excited to:

Develop and execute real estate strategies that balance cost, flexibility, and growth needs.

Perform detailed proposal and lease reviews of serviced office and direct leases to negotiate the best outcome for OpenAI.

Shape portfolio decisions by creating models, scenarios, and recommendations for leadership.

Balance strategy with day-to-day execution, ensuring outcomes align with company priorities.

Partner with landlords to foster relationships.

Introduce scalable processes that improve efficiency and decision-making.

In this role, you will:Lead end-to-end execution of lease transactions, from strategy and RFPs through lease negotiation, review, approvals and signing.

Conduct in-depth review of proposals and leases to ensure they benefit OpenAI.

Develop portfolio strategies and and translate insights into clear, executive-level presentations and briefing materials.

Build robust financial models and scenario plans.

Track lease expirations, critical dates, and portfolio exposure to enable proactive decision-making.

Collaborate cross-functionally (Strategic Finance, Legal, Design &amp; Construction, Occupancy Planning, Accounting, and other teams) to align lease terms with strategic and operational needs.

Partner on budgeting, variance reporting, and monthly financial reviews with Strategic Finance and Accounting teams.

Maintain accurate reporting and portfolio analytics to inform future strategy and investments.

Assist with Letter of Credits, Security Deposit and Certificates of Insurance and work with internal and external stakeholders on updates to LOC and Security Deposits.

Team with Lease Administration to ensure a high level of accuracy on reporting.

Track lease expirations and assist in coordination of restoration work and move-out oblig

ations.

Use AI-powered tools to accelerate analysis and scenario-planning and to streamline lease review, financial modeling, and portfolio reporting.

Support sustainability initiatives by ensuring lease requirements align with OpenAI’s environmental goals.

 You might thrive in this role if you have:6–8+ years of corporate real estate transactions across commercial office, industrial, and warehouse environments; in-house experience strongly preferred.

Advanced expertise in lease interpretation, real estate strategy, financial modeling, and risk assessment.

A proven ability to create clear deliverables for executive decision-making.

Strong communication skills with the ability to resolve ambiguity and independently solve complex issues.

Balanced strategic planning with execution, moving seamlessly from big-picture portfolio strategy to detailed lease review.

Proficiency in ChatGPT, Codex, Google/Microsoft Suites, and Lease Administration systems.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Fran]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[ChatGPT, Codex]]></skills>
    <expirationdate>2026-07-07T20:29:37.259Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Market Research Lead]]></title>
    <date>2026-05-08T17:54:02.391Z</date>
    <referencenumber>cmpgih2im03f6v2xqefpjlxzf</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/market-research-lead-d3f12d53</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies.

The Marketing Insights &amp; Analytics team aims to understand the markets, audiences, behaviors, attitudes and needs to shape outreach strategies and inform product and business decisions. We’re the strategic partner that discovers insights, specifically: foundational understanding, marketing strategy, thought leadership, measurement and tracking.

About the Role

You will be the Market Research Lead that translates insights into actionable marketing plans and executions, drive business results, and orient the team towards strategic thinking to drive brand outcomes. This is critical as we hope to reach millions of users and businesses worldwide.

This role can be based in San Francisco, CA or NYC, NY utilizing a hybrid work model (3 days per week in-office).

In this role, you will:

Play an integral part of Marketing and be a strategic partner to brand, product marketing, creative, product and beyond.

Design, execute, and deliver high-impact research using mixed methods.

Work on a diverse portfolio of business challenges - how do we reach the next billion people, how do we grow internationally, how do we position our suite of products, and how do we ship joy to our customers.

Translate business questions into research plans.

Translate data into clear, compelling narratives.

Develop deep empathy for developers, builders, and technical decision-makers, understanding their workflows, motivations, and pain points across the lifecycle

Shape go-to-market strategies for technical products including positioning, messaging, and developer segmentation.

You might thrive in this role if you have:

10+ years experience in data analysis, mix-method user or market research.

Experience with independently executing full-cycle research from research design to reporting.

Extensive background in quantitative and qualitative research, including hands-on experience in survey/discussion guide development and data analysis (weighting, data cleaning, regression, etc.).

Experience directing agencies/vendors to deliver results.

Experience using data from various sources, including behavioral and product usage data, to influence executives and stakeholders

Experience conducting research with developers, technical users, or B2B audiences.

Experience with product or GTM strategy research (positioning, messaging development, etc.), brand research, campaign development, and tracking

Experience with statistical analysis tools and survey programming tools.

Experience conducting global research studies

You could be an especially great fit if you have experience with behavioral data.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Outreach]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Outreach]]></skills>
    <expirationdate>2026-07-07T17:54:02.391Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Manager, Cyber Safety]]></title>
    <date>2026-05-08T17:07:13.827Z</date>
    <referencenumber>cmpgih2ic03f4v2xq7mzydbhc</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-manager-cyber-safety-88b4f32c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency.

Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations.

About the Role

We are hiring a Product Manager to focus on cybersecurity risk. In this role, you will drive initiatives which ensure that OpenAI’s frontier model deployments are safe, impactful, and aligned with user needs and technical innovation in your respective space. You will clarify strategic priorities, develop safety-focused product roadmaps, and collaborate closely with AI researchers, software engineers, policy experts, and cross-functional partners. You will also create a plan to uplift the ecosystem, accelerating others to outpace adversaries. This role suits a proactive, technically skilled product manager adept at adversarial thinking and excited to tackle challenging, ambiguous problems through structured analysis and collaborative decision-making.

This position is based in San Francisco, CA, with relocation assistance available.

In this role, you will:

Partner closely with research, engineering, data science, policy teams, and other stakeholders to embed safety throughout the development and deployment of frontier AI models.

Develop comprehensive frameworks for understanding and mitigating deployment safety risks, drawing on data analysis, expert consultation, and adversarial assessments.

Define strategic priorities and product roadmaps focused on improving deployment safety, enhancing reliability, and managing emerging AI capabilities.

Create scalable methodologies, tools, and processes for evaluating, refining, and continuously improving our safety systems.

Establish repeatable processes to integrate cutting-edge AI safety research into OpenAI’s models and product offerings.

Develop and continuously refine clear, actionable metrics that effectively capture safety performance and user experience at scale.

 You might thrive in this role if you:

Have 6+ years of product management or related industry roles, with specific expertise in AI safety, trust &amp; safety, integrity, or related domains.

Have a background in cybersecurity.

Are deeply curious and interested in interdisciplinary fields such as human-computer interaction, psychology, philosophy, or similar areas.

Have hands-on experience driving consensus and action in ambiguous spaces.

Excel at identifying and challenging underlying assumptions and constraints through insightful questioning.

Are highly effective at cross-functional collaboration and communicating complex technical concepts clearly and persuasively.

Enjoy working in a fast-paced, high-growth environment.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end o]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Product Management]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Product Management, Excel]]></skills>
    <expirationdate>2026-07-07T17:07:13.827Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[ChatGPT For Work - Early Access Program]]></title>
    <date>2026-05-08T16:59:58.837Z</date>
    <referencenumber>cmpgih2r903gwv2xqmle26rn3</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/chatgpt-for-work-early-access-program-a4c04ec1</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the role
OpenAI is seeking an experienced Program Manager to build and scale the Early Access operating model for ChatGPT for Work. This role sits at the intersection of product launch, enterprise readiness, and customer signal.

You will ensure that new ChatGPT for Work capabilities, from collaboration features to advanced admin controls, are tested with the right customers, generate actionable feedback, and launch with clear product-market fit and operational readiness. Through structured early access programs, you will help validate workflows, surface adoption blockers, and produce clear recommendations on launch readiness.

You will partner closely with Product, Engineering, Security, Legal, Support, and GTM, and act as the connective layer between customers and internal teams. Your work will directly shape how new ChatGPT for Work features are validated, positioned, and successfully adopted by businesses.

This position is based in our San Francisco headquarters.

In this role, you will:

Serve as the technical DRI for select early access features with customers, particularly when account teams require deeper product expertise during alpha phases.

Engage directly with enterprise and business customers to understand workflows, constraints, and adoption barriers, and translate these into structured product insights.

Drive scaled testing that produces clear signals on product-market fit, quality, and hero use cases to inform launch decisions.

Partner with GTM and readiness teams to translate early access learnings into positioning, enablement materials, rollout guidance, and internal education.

Own the end-to-end Early Access lifecycle for ChatGPT for Work — from intake and readiness through customer onboarding, live execution, and post-program synthesis.

Build and operate the systems that make early access scalable: structured intake, customer selection criteria, readiness gates, feedback capture, reporting, and launch recommendations.

Validate both enterprise readiness requirements (identity, security, compliance, deployment posture) and feature-level workflows, including collaboration capabilities and emerging product surfaces.

Maintain portfolio visibility across segments and verticals to ensure new capabilities are tested in diverse real-world environments.

Establish clear metrics and reporting systems that reflect program impact and enable continuous improvement.

You’ll thrive in this role if you:

Have 6+ years of experience in program management, product operations, or technical operations within a B2B SaaS or platform environment.

Bring strong AI fluency — you actively use AI-driven workflows to scale your own impact and can identify where emerging AI capabilities meaningfully change how teams operate.

Can serve as a technical DRI in customer-facing settings, confidently representing product capabilities, constraints, readiness considerations, and tradeoffs with enterprise and business customers.

Can build trust with account teams and customers by bringing technical depth, sound judgment, and clear communication to complex or ambiguous product conversations.

Understand enterprise SaaS systems and what enterprise readiness requires beyond feature completeness, including rollout strategy, admin enablement, documentation, compliance, and measurable success criteria.

Have designed and operated structured early access, alpha, or staged rollout programs with defined cohorts, metrics, and feedback loops.

Are comfortable acting as a bridge between deeply technical teams and customer-facing teams, synthesizing signal into clear launch recommendations.

Demonstrate strong cross-functional influence, aligning Product, Engineering, Security, Legal, GTM, and Support around clear decisions.

Are comfortable building operating models from first principles in evolving environments.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the Sa]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[ChatGPT]]></skills>
    <expirationdate>2026-07-07T16:59:58.837Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[APAC Strategic Initiatives Lead, Global Affairs]]></title>
    <date>2026-05-08T15:48:48.789Z</date>
    <referencenumber>cmpgih2qe03gqv2xqo229a1gq</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/apac-strategic-initiatives-lead-global-affairs-7d19e152</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About the TeamOpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Achieving this goal requires deep engagement with policymakers, regulators, institutions, and communities shaping the future of AI.

The Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to ensure that external perspectives inform our work and that policy frameworks support the safe and beneficial development of AI. We work closely with research, product, policy, legal, communications, and go-to-market teams to anticipate emerging issues, shape responsible policy outcomes, and advance OpenAI’s mission around the world.

About the RoleOpenAI is seeking a senior, highly strategic, and execution-oriented APAC Strategic Initiatives Lead to join the Global Affairs team. This is a senior individual contributor role based in Singapore, reporting to the Head of Asia-Pacific, Global Affairs.

This role will help advance OpenAI’s APAC regional strategy by driving execution of priority regional initiatives, partnerships, and campaigns. You will work closely with country leads, functional partners, and company leadership to turn strategy into clear plans, coordinated execution, and measurable outcomes.

The role sits at the intersection of policy, partnerships, campaigns, executive engagement, and cross-functional execution. You will bring structure to ambiguous opportunities, drive accountability across complex workstreams, and help ensure that APAC initiatives are delivered with clarity, speed, and discipline.

Key ResponsibilitiesOwn end-to-end execution of select APAC strategic initiatives, ensuring clear strategy, sequencing, stakeholder alignment, delivery, and measurement.

Partner with the Head of APAC Global Affairs and country leads to identify, shape, and execute priority regional initiatives across Asia Pacific.

Translate regional priorities into actionable workplans, owners, milestones, timelines, risks, and decision points.

Help design and execute APAC-wide and country-level initiatives that advance responsible AI adoption, strengthen OpenAI’s regional presence, and support priority policy outcomes.

Support flagship partnerships, convenings, executive visits, and regional moments with governments, universities, industry, NGOs, civil society, and ecosystem leaders.

Coordinate across policy, communications, legal, product, research, partnerships, go-to-market, finance, and operations teams to ensure regional initiatives are aligned and effectively executed.

Identify emerging policy, geopolitical, reputational, and commercial priorities across APAC and translate them into practical engagement plans and execution recommendations.

Prepare high-quality briefings, memos, strategic updates, and presentations for senior internal and external stakeholders.

Build lightweight systems to track priority initiatives, campaign progress, stakeholder engagement, milestones, risks, and outcomes.

Improve how APAC Global Affairs plans, executes, documents, and measures impact across regional initiatives.

You Should Thrive in This Role If YouAre a senior operator who can move seamlessly between strategy and hands-on execution.

Have strong judgment, executive presence, and the ability to influence without formal authority.

Know how to turn broad goals into concrete initiatives, timelines, owners, and outcomes.

Bring structure, momentum, and accountability to ambiguous, fast-moving environments.

Are an exceptional writer and communicator who can produce clear, executive-ready materials.

Understand how policy, politics, reputation, partnerships, and business priorities intersect.

Operate effectively across countries, cultures, and time zones.

Have high standards, strong ownership, and a bias for action.

We’re Looking For a Blend Of10+ years of experience in strategic initiatives, partnerships, campaign execution, program management, public policy, corporate affairs, consulting, business operations, or related fields.

Significant experience supporting senior executives or regional leadership teams in high-growth, fast-moving, or complex organizations.

Proven success operating as a senior individual contributor with broad scope, executive trust, and strong ownership.

Strong experience leading complex, cross-functional initiatives from strategy through execution.

Experience building and executing partnerships, campaigns, convenings, or external engagement programs involving multiple stakeholders.

Excellent written and verbal communication skills, including experience preparing senior-level briefings, memos, and presentations.

Strong analytical and problem-solving skills, with the ability to synthesize multiple inputs into clear recommendations and action plans.

Experience working across APAC or in international environments.

Fluency or professional working proficiency in Chinese, Japanese, or Korean is a plus.

Familiarity w]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-07T15:48:48.789Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Machine Learning Engineer I, Personalization , Minesweeper]]></title>
    <date>2026-05-08T15:14:28.766Z</date>
    <referencenumber>cmpgigmyg02hkv2xqcw6bgzox</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/machine-learning-engineer-i-personalization-minesweeper-b559e1c1</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual person and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like “Home” and “Search” as well as original playlists such as “Discover Weekly” and “Daily Mix.”
 
Personalization’s Minesweeper squad produces Human Understandable Language Knowledge to enrich music and talk content understanding. We use AI and ML techniques, including Large Language Models, to understand music, podcasts and audiobooks, building reliable, scalable systems to distribute that knowledge to Spotify internal teams, users, and creators. We are looking for a Machine Learning Engineer to join our team and help build the future of music, podcast and audiobook listening experiences for millions of listeners at Spotify. This is a unique opportunity to help develop and shape Spotify content enrichment, and recommendations. You’ll grow your skills in ML engineering at scale, work with a cross-functional team of Data Engineers, Backend Engineers, and researchers, and join a motivated and supportive team. 
What You'll Do
Utilize in-house and 3rd party LLMs to solve language understanding problems
Employ techniques such as fine-tuning and RAG to improve models
Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
Help drive optimization, testing, and tooling to improve quality of our content enrichment assets
Collaborate with cross-functional teams of MLEs, data and backend engineers, and other stakeholders including tech research, data science, and product to develop new features and technologies
Be a participant in our AI Foundation’s ML community and work collaboratively and efficiently within our existing platforms and systems Perform data analysis to establish baselines and inform product decisions
Stay up-to-date on the latest machine learning algorithms and techniques

Who You Are
You have a strong background in machine learning, especially experience with Large Language Models
You have professional experience in applied machine learning
Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, with Python experience required) and cloud platforms (GCP or AWS)
You have some hands-on experience implementing or prototyping machine learning systems at scale
You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark
You care about agile software processes, data-driven development, reliability, and disciplined experimentation
You have experience and passion for fostering collaborative teams
Experience with PyTorch, TensorFlow, and/or other scalable Machine learning frameworks. Experience with Ray or TFX is a plus
Bonus if you have experience with architecting near real time pipelines

Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.This team operates within the Eastern Standard time zone for collaboration.

The United States base range for this position is $120,465- $172,093 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Machine Learning, LLMs, RAG, Python, Scala, Java, SQL, Cloud, GCP, AWS, PyTorch, TensorFlow]]></skills>
    <expirationdate>2026-07-07T15:14:28.766Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Legal Counsel - Platform Liability]]></title>
    <date>2026-05-08T14:48:55.902Z</date>
    <referencenumber>cmpgigmwn02h4v2xq03fy974z</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/legal-counsel-platform-liability-31bec463</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[Spotify’s Legal team is growing. We’re facing innovative challenges that mirror the ground-breaking industry and product at the heart of our company. As we’ve expanded into more than 184 countries and our company has grown tremendously, we find ourselves facing new and interesting legal issues every day.

As Legal Counsel, Platform Liability &amp; Enforcement at Spotify, you will help supervise Spotify’s legal takedown practices and policies and you will provide legal support for the teams that develop, implement, and support Spotify’s content policies. You will also work directly to resolve claims related to these policies and help build out processes for scale. Your experience making risk-based assessments and proactively finding solutions to complex problems will be crucial.

What You'll Do
Advise on Spotify’s global compliance with platform liability frameworks and content safe harbor laws (e.g., Digital Services Act, DMCA, Section 230 of the Communications Decency Act)
Support managing Spotify’s legal takedown process, across content types, across all types of legal issues including intellectual property and speech-based offenses
Provide legal advice across Spotify on platform liability, including issue-spotting and strategizing solutions for exciting new products
Work with internal and external counsel and government affairs experts to track evolving legal requirements across the territories where Spotify operates
Counsel the teams responsible for building, managing, and implementing Spotify’s content policies, including the Trust &amp; Safety team and the Content Protection team
Work on proactive enforcement efforts regarding potential abuse of the Spotify platform
Provide legal support for litigations and press inquiries arising out of content takedown issues
Work with operations teams within and outside the legal team to develop efficient, scalable practices around legal takedown requests
Perform rotational work as business requires 

Who You Are
Law degree (or equivalent)
5+ years of experience working in a law firm and/or in-house legal department
Deep understanding of intermediary liability frameworks, with a preference for experience litigating cases involving intermediary liability
Proven expertise in copyright law and other content-related legal issues
Experience assessing and advising on a broad set of legal standards, even when those standards are new to you
Experience in partnering with global stakeholders
A passion for legal problems; you can explain legal concepts to non-lawyers
A problem solver who stays calm when problems come your way
A builder; you can work collaboratively (especially with non-lawyers) on finding practical, implementable tools and operational solutions
Self-motivated and can identify and complete work to be done without being instructed
A multi-tasker who can triage to make sure the right matters get your attention
You’re willing to really dig deep on projects
You work well as part of a team — both with other lawyers and with non-legal stakeholders

Where You'll Be
 This role is based in London
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-07T14:48:55.902Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Machine Learning Engineer - Messaging Platform]]></title>
    <date>2026-05-08T14:29:46.970Z</date>
    <referencenumber>cmpgigncj02kkv2xq52q2sg5r</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-machine-learning-engineer-messaging-platform-032eeb9b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[Spotify’s Subscriptions Mission focuses on converting listeners into lifelong subscribers by delivering seamless, valuable experiences across pricing, packaging, and customer journeys. We build the systems and tools that power acquisition, retention, and overall subscription growth at scale.

The Messaging Platform powers Spotify’s communications to over a billion users — from push notifications to emails and in-app messages that connect listeners to the content they love. Within this space, the Paloma squad focuses on message optimization: deciding which message reaches which user, through which channel, and at what moment.

We’re evolving how messaging works at Spotify — moving from short-term optimization toward systems that understand long-term user journeys. By combining reinforcement learning approaches with deeper domain signals, we’re expanding how machine learning shapes the entire messaging funnel.

 

What You'll Do

Design, build, and ship machine learning models that optimize messaging across push, email, and in-app channels
Plan and run A/B experiments in a multi-objective environment, balancing conversion, engagement, retention, and reachability
Contribute to reinforcement learning systems that optimize for long-term user outcomes rather than immediate interactions
Partner with product managers, data scientists, and engineers to define what success looks like and how to measure it
Own the full ML lifecycle, from data and modeling to deployment, monitoring, and iteration
Integrate ML models with upstream systems, including domain value signals and opportunity generation frameworks
Help shape the future of AI-assisted development within the team, exploring how tools can accelerate experimentation and delivery

Who You Are

You have strong experience building and deploying machine learning models in production environments at scale
You are comfortable translating business problems into ML solutions and discussing trade-offs with cross-functional partners
You have worked on complex optimization problems such as ranking systems or multi-objective decision-making
You bring hands-on experience with PyTorch and distributed systems such as Ray or similar frameworks
You understand experimentation deeply and can design reliable tests in environments with interacting metrics
You are able to analyze results using approaches like causal inference or metric decomposition when needed
You have experience with or curiosity about reinforcement learning and long-term optimization systems
You enjoy working across disciplines and navigating ambiguity while shaping strategy and direction

 

Where You'll Be

This role is based in London and Stockholm
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home

 

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Machine Learning, Reinforcement Learning, PyTorch, Distributed Systems]]></skills>
    <expirationdate>2026-07-07T14:29:46.970Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Product Manager – Partner Growth]]></title>
    <date>2026-05-08T12:04:53.750Z</date>
    <referencenumber>cmpgignhx02liv2xqqp131bnq</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-product-manager-partner-growth-4820e559</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Stockholm]]></city>
    <country>ES</country>
    <description><![CDATA[Delivering the best Spotify experience, everywhere and every time. As AI assistants, widgets, and mobile surfaces evolve, Spotify must meet users wherever they are. Partner Growth leads this work, building Spotify’s AI-driven experiences with major partners like Anthropic, Meta, OpenAI, Google, and Samsung, and delivering high-impact mobile ubiquity features such as homescreen widgets, lockscreen surfaces, and navigation integrations.

As Senior Product Manager for Partner Growth, you will shape Spotify’s experience layer across partner ecosystems and mobile platforms. You'll define the product strategy for some of our most important partnerships, advocate for the right outcomes across the organization, and take hands-on accountability for delivering the features that bring that strategy to life. This role blends strategic partnership leadership with end-to-end product execution.

What You'll Do
Define Strategy: Set the vision for Spotify’s AI-driven experiences across partner agents and mobile surfaces, ensuring alignment with company priorities and user needs.

Lead Experience Development: Translate our foundational capabilities into compelling experiences across partner AI and agentic surfaces.

Drive Ubiquity: Own the roadmap for mobile ubiquity features including widgets, lockscreen experiences, navigation surfaces, and other integrations that deliver everyday value.

Partner with External Teams: Work directly with major technology partners to co-develop and launch integrated experiences, influencing partner roadmaps while ensuring high-quality execution.

Collaborate Across Spotify: Partner closely with Design, Engineering, BD, and more to deliver cohesive, scalable experiences built on shared patterns and reliable platform capabilities.

Who You Are

An experienced Product Manager with a track record of building consumer-facing experiences, especially those involving AI, mobile, or partner integrations.

Skilled in navigating external partnerships and representing product needs clearly to cross-functional teams inside and outside Spotify.

Comfortable making decisions in ambiguous, fast-evolving spaces where interaction models and partner capabilities shift quickly.

Experienced collaborating with engineering and design to turn complex constraints into simple, polished user experiences.

A strong communicator and relationship builder who thrives in multi-team, multi-partner environments and can align collaborators toward a shared vision.

Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions).

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-07T12:04:53.750Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Software Engineer - Platform Infrastructure]]></title>
    <date>2026-05-08T12:04:16.216Z</date>
    <referencenumber>cmpgignke02m0v2xqk2q35p9n</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-software-engineer-platform-infrastructure-cb1cc753</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
What if the systems you built changed how millions of developers work, not just at Spotify, but across the industry? The Platform Developer Experience (PDX) studio builds the infrastructure and internal products that power how Spotify engineers ship software. Within PDX and Backstage Product Area, the Platform Infrastructure team is building the next generation of cloud and compute foundations that power our internal developer platform and the AI agents running on top of it, and help bring those capabilities to market through Portal, Spotify's external developer platform built on Backstage.

You'll join the Platform Infrastructure team within the Backstage Product Area. The team owns the cloud foundations, developer tooling and security posture that the rest of Platform, and ultimately all of Spotify R&amp;D, depends on. You’ll collaborate closely with experienced engineers (both human and AI-assisted) while operating at real-world scale, with deep observability, strong safety boundaries, and the unique reliability challenges of agentic production systems.

What You'll Do

Design, build, and operate multi-cloud foundations across GCP and AWS
Own platform components end-to-end with a strong bar for reliability and security
Improve developer tooling and platform self-service capabilities
Build secure-by-default infrastructure patterns
Drive operational excellence through incident management and automation
Collaborate across Platform and R&amp;D to improve developer productivity
Contribute to Backstage and Portal
Mentor engineers and raise engineering quality

Who You Are

You have 5+ years of backend or infrastructure engineering experience
You have deep experience with cloud infrastructure (GCP/AWS), Terraform, and Kubernetes
You are proficient in a modern programming language
You have strong experience with CI/CD and developer platforms
You think in distributed systems and understand trade-offs
You are familiar with AI/LLM systems and their application to infrastructure
You take ownership of outcomes and drive impact
You communicate clearly and navigate complex trade-offs
You foster inclusive, collaborative environments

Where You'll Be

This role is based in New York, NY
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

 

The United States base range for this position is $164,448–$234,926 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud, GCP, AWS, Terraform, Kubernetes, CI/CD, Distributed Systems]]></skills>
    <expirationdate>2026-07-07T12:04:16.216Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer - Platform Infrastructure]]></title>
    <date>2026-05-08T12:00:23.583Z</date>
    <referencenumber>cmpgignlu02mcv2xqsyw8d4og</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-platform-infrastructure-a5a6e922</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

What if the systems you built changed how millions of developers work, not just at Spotify, but across the industry? The Platform Developer Experience (PDX) studio builds the infrastructure and internal products that power how Spotify engineers ship software. Within PDX and Backstage Product Area, the Platform Infrastructure team is building the next generation of cloud and compute foundations that power our internal developer platform and the AI agents running on top of it, and help bring those capabilities to market through Portal, Spotify's external developer platform built on Backstage.

You'll join the Platform Infrastructure team within the Backstage Product Area. The team owns the cloud foundations, developer tooling and security posture that the rest of Platform, and ultimately all of Spotify R&amp;D, depends on. You’ll collaborate closely with experienced engineers (both human and AI-assisted) while operating at real-world scale, with deep observability, strong safety boundaries, and the unique reliability challenges of agentic production systems.

What You'll Do

Build and operate components of our multi-cloud foundations across GCP and AWS, including compute, storage, networking, identity, and platform primitives
Own components and features end-to-end: from technical design through implementation, rollout, and on-call
Contribute to developer tooling (CI/CD, build systems, deployment, observability) so engineers ship safely and quickly
Participate in incident management, on-call, and postmortems, using AI assistants to accelerate root cause analysis
Collaborate across Platform and R&amp;D to improve developer productivity
Contribute to Backstage and Portal to simplify cloud and tooling access
Grow through code reviews, design discussions, and collaboration with senior engineers

Who You Are

You have 2+ years of backend or infrastructure engineering experience working on production systems
You have experience building or operating cloud infrastructure (GCP and/or AWS), with familiarity in Terraform and Kubernetes
You are proficient in at least one modern language (TypeScript, Java, Go, or Python)
You have experience with CI/CD, deployment systems, and observability tooling
You think about systems in terms of reliability, performance, cost, and failure modes
You are curious about AI/LLM systems and their application to infrastructure
You take ownership of your work and follow through on problems
You communicate clearly and collaborate effectively across teams
You are open to feedback and motivated to grow

Where You'll Be

This role is based in New York, NY
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $132,949–$189,927 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud, GCP, AWS, CI/CD, Terraform, Kubernetes, TypeScript, Java, Python]]></skills>
    <expirationdate>2026-07-07T12:00:23.583Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Deployment Engineer, Codex | Sydney]]></title>
    <date>2026-05-08T05:05:54.608Z</date>
    <referencenumber>cmpgih2mc03fyv2xq6x02vv2k</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-deployment-engineer-codex-sydney-cc883de5</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Sydney]]></city>
    <country>ES</country>
    <description><![CDATA[About the team

The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.

About the Role

We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.

This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.

This role is based in Sydney. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees

In this role, you will:

Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.

Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.

Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.

Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.

Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.

Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.

Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.

Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.

You’ll thrive in this role if you:

Have 8+ years of post-sales engineering or solutions architecture, working directly with customers.

Have 2+ years of software engineering experience and a strong understanding of the software development life cycle.

Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.

Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.

Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.

Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.

Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.

Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.

Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Ba]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, SDLC]]></skills>
    <expirationdate>2026-07-07T05:05:54.608Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Systems Manager - Financial Systems Operations]]></title>
    <date>2026-05-07T20:24:21.517Z</date>
    <referencenumber>cmpgigno302muv2xq5d2sah0w</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/systems-manager-financial-systems-operations-10dd09d4</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Toronto]]></city>
    <country>ES</country>
    <description><![CDATA[The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

 

You’ll join the Financial Engineering (FinE) alliance, where we build and run the systems that power Spotify’s global financial operations. Our Financial Systems Operations team sits at the heart of this ecosystem, ensuring our core SaaS platforms run smoothly and scale with the business. You’ll lead a group of analysts who keep things moving day to day while continuously improving how we support Finance, Procurement, Accounting, and Legal partners.

 
What You'll Do

Lead, manage, and develop a team of Financial Systems Analysts, fostering a high-performance culture focused on service excellence, quality, impact, and growth.

Own the operational health of Spotify's financial and legal SaaS suite, including NetSuite, Coupa, Concur, Blackline, and Graphite Connect, ensuring consistent, reliable support for our stakeholders.

Manage and continuously improve the team's operations and impact — overseeing Jira queue management, triage frameworks, SLA performance, and escalation pathways.

Define and track team KPIs and operational metrics, using data to drive resourcing decisions, prioritisation, and ongoing process improvements.

Partner with Finance, Procurement, Accounting, Audit, Legal, and Engineering stakeholders to understand evolving system and regulatory requirements and translate them into operational plans.

Drive a culture of continuous improvement — identifying opportunities for process optimisation, automation, and self-service to scale our systems as Spotify grows. Including leveraging opportunities to automate processes using the latest automation / AI tooling. And manage using an impact-first approach to sharpen the team’s focus and connect the team's work to work that aligns with company priorities, valuing outcomes over activity.

Who You Are

You have 6+ years of experience in financial systems administration or operations, with deep expertise across ERP and financial SaaS platforms — direct experience with NetSuite, Coupa, Concur, or Blackline strongly preferred.

You have 2+ years of experience managing a team, with a demonstrated ability to hire, develop, and retain analysts across different levels of seniority.

You are a natural coach and mentor — you take genuine pride in growing the people around you and creating the conditions for your team to do their best work.

You have a strong operational mindset: you are comfortable owning a queue-driven support environment, setting standards for quality and throughput, and improving the systems and processes your team relies on.

You have strong functional knowledge of financial processes including Procure-to-Pay (PTP), Record-to-Report (RTR), and Order-to-Cash (OTC) in a multi-subsidiary, multi-currency enterprise environment.

You have working knowledge of SOX frameworks and IT General Controls, particularly as they relate to ERP and SaaS system change management.

You have demonstrated the ability to build and maintain effective cross-functional relationships with both technical partners and senior business stakeholders.

You are comfortable with ambiguity and can translate high-level goals into practical team priorities and delivery plans.

You communicate with clarity and transparency — your team, stakeholders, and peers always know where things stand.

You have experience working with Agile methodologies and are comfortable using tools such as Jira for operational tracking.

Bonus: familiarity with leveraging Generative AI in your day-to-day role. 

Bonus: accounting qualification (CPA or equivalent) or significant accounting experience.

Where You'll Be

This role is based in Toronto.
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[NetSuite]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[NetSuite, Concur, Jira, Generative AI]]></skills>
    <expirationdate>2026-07-06T20:24:21.517Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Accounting Manager]]></title>
    <date>2026-05-07T20:14:51.929Z</date>
    <referencenumber>cmpgih2ng03g6v2xqg4edawsz</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/accounting-manager-72ec3637</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. Our Controllership team provides accurate, timely, and decision-useful financial information to internal and external stakeholders, while building the processes, systems, and controls needed to support a rapidly evolving business. As OpenAI’s products, pricing models, and commercial structures continue to expand, we are building a finance organization that can scale with both operational complexity and growth.

About the Role

We are looking for an Accounting Manager to help scale and operate our core financial close, reporting, and controls as we mature and grow as a company. This role will own critical areas of the balance sheet and P&amp;L, partner closely with Business Systems and FP&amp;A, and play a key role in building durable, SOX-ready accounting processes.

This is a hands-on role for someone who thrives in complexity, cares deeply about accuracy, and wants to help build the next generation of finance infrastructure.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Manage end-to-end accounting close for assigned areas.

Prepare, review, and approve journal entries and account reconciliations.

Own balance sheet integrity and explain period-over-period movements.

Partner with FP&amp;A to explain actuals vs budget and forecast.

Work closely with Business Systems on Oracle workflows and integrations.

Support acquisitions, system migrations, and new business launches.

Design and maintain SOX-ready controls.

Prepare audit schedules and support external auditors.

You might thrive in this role if you have:

6+ years of progressive accounting experience, with 2-3 experience managing outsourced support.

Strong technical knowledge of U.S. GAAP.

Proficiency with ERP systems (Oracle Fusion preferred) and advanced Excel skills.

Excellent organizational, analytical, and communication skills.

A collaborative, proactive mindset and ability to work effectively across teams in a high-growth, fast-paced environment.

CPA license and/or Big 4 experience.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Oracle]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Oracle, Excel]]></skills>
    <expirationdate>2026-07-06T20:14:51.929Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Full-Stack Software Engineer, Applied Foundations]]></title>
    <date>2026-05-07T19:45:42.110Z</date>
    <referencenumber>cmpgih2pv03gmv2xqcfab1ht9</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/full-stack-software-engineer-applied-foundations-c56b4cad</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Applications Engineering organization builds and operates the products (such as ChatGPT &amp; Codex) that bring our cutting-edge research to millions of users and developers worldwide. 

The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity &amp; access, to safety to payments &amp; commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale.

About the Role

We’re hiring Full-Stack Software Engineers to design and implement safe services, systems and infrastructure that power our core products.

In this role, you will:

Architect, build, and improve frontend and backend systems.

Work across the full stack to build products and systems from initial exploration through launch readiness.

Participate in long-term architectural planning and technical design reviews.

Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience.

You might thrive in this role if you:

Have built and shipped full-stack apps or systems end-to-end — in fast-moving, startup-like environments.

Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

Enjoy building resilient products and services that handle large scale and complexity.

Are self-directed and enjoy figuring out the best way to solve a particular problem

Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, Codex]]></skills>
    <expirationdate>2026-07-06T19:45:42.110Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Systems Software Engineer, Management Plane]]></title>
    <date>2026-05-07T19:34:12.438Z</date>
    <referencenumber>cmpgih2q503gov2xqk586wa8s</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/system-software-engineer-first-party-hardware-22b88806</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamOpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the RoleWe're seeking a System Software Engineer to join our First-Party Hardware team. In this role, you will design, build, integrate, and validate low-level system software for the manageability and health of OpenAI's first-party AI hardware systems.

You will work across BMC, Linux, firmware interfaces, automation infra, boot and recovery, hardware diagnostics, telemetry, host and platform drivers, network software interfaces, and manufacturing and fleet readiness. A major part of this role is owning the acceptance path for partner-delivered system software: defining requirements, reviewing code and artifacts, reproducing builds, building tests, pushing fixes, and producing the evidence needed for launch decisions.

This role is hands-on and high-ownership. You will write and review low-level software, debug issues across hardware and software boundaries, build infra and automation to test and manage devices in lab, guide partner deliverables, build validation evidence, and help carry platforms from bring-up through production deployment.

Location: San Francisco, CA (Hybrid: 3 days/week onsite)

Relocation assistance available.

In this role, you will:Design, develop, and maintain low-level firmware and system software for first-party AI hardware manageability, including BMC software, Redfish services, gNMI telemetry, firmware update and recovery flows, BIOS/UEFI interactions, platform drivers, and hardware diagnostics.

Own integration and acceptance of partner and vendor software releases, including requirements, code and artifact review, reproducible builds, CI, regression monitoring, version tracking, acceptance criteria, and launch-readiness evidence.

Build and maintain automation and CI infra for testing and managing systems in our lab

Define and debug hardware management protocols across accelerators, host systems, management controllers, firmware, and platform services, including interfaces such as I2C, SMBus, PMBus, PCIe, Ethernet, GPIO, UART, and JTAG.

Build system health monitoring, telemetry, remote diagnostics, and recovery paths that make hardware failures diagnosable in the lab, at manufacturing partners, and in production data centers.

Develop validation and test automation for board bring-up, rack bring-up, qualification, manufacturing readiness, deployment readiness, and long-term reliability.

Convert engineering releases into manufacturing-ready software recipes: images, versions, logs, limits, remediation mapping, provisioning hooks, secure artifact handling, and traceable data export.

Debug complex production issues spanning hardware signals, BMC firmware, BIOS/UEFI, kernel drivers, platform services, network topology, PCIe behavior, power, thermals, boot, provisioning, and manufacturing test.

Partner with hardware, firmware, security, networking, infrastructure, manufacturing, operations, and external engineering teams to define software contracts, unblock bring-up, and drive issues to closure.

Produce durable architecture notes, runbooks, validation records, and decision documents that help OpenAI and partner teams reproduce, operate, and improve the platform.

You might thrive in this role if you:7+ years of hands-on experience, or exceptional accomplishments demonstrating equivalent expertise, in low-level system software, embedded software, firmware, BMC software, platform software, device drivers, or hardware diagnostics.

Strong programming skills in C, C++, Rust or similar systems languages, with experience building reliable software for real hardware.

Experience with Linux-based hardware platforms, embedded Linux, OpenBMC, Redfish, BMCWeb, IPMI boundaries, BIOS/UEFI, bootloaders, firmware update systems, kernel drivers, RTOS, or fleet management software.

Strong knowledge of hardware/software interfaces such as I2C, SMBus, PMBus, SPI, PCIe, Ethernet, USB, UART, GPIO, JTAG, power controllers, board-level debug tools, or protocol analyzers.

Demonstrated ability to debug live hardware using logs, packet captures, firmware traces, bus captures, lab hosts, BMC journals, Linux tooling, and carefully controlled experiments.

Experience with hardware bring-up, manufacturing or qualification testing, system diagnostics, release validation, or deployment of high-performance compute, accelerator, server, networking, storage, or embedded platforms.

Ability to reason across software, firmware, hardware, m]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Linux]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Linux, Flows, Rust]]></skills>
    <expirationdate>2026-07-06T19:34:12.438Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[GTM Strategy & Planning]]></title>
    <date>2026-05-07T19:04:04.753Z</date>
    <referencenumber>cmpgih1ho038ev2xqg614n7io</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/gtm-strategy-planning-b7fc3151</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. This long-term undertaking brings together the world’s best scientists, engineers, and business professionals. Our Go-To-Market (GTM) organization helps customers understand, adopt, and scale OpenAI’s products and platform. This role sits within Revenue Operations on the Strategic Planning team, which serves as the bridge between Strategic Finance and GTM Leadership—owning target setting, capacity planning, investment strategy, and org design to build data-backed, strategically aligned plans that enable the business to scale effectively.

About the Role

We are hiring for a GTM Strategy &amp; Planning role to help shape how OpenAI plans, invests, and scales across our revenue organization. This role partners closely with Strategic Finance and GTM Leadership to translate company financial goals into actionable regional, segment, and team-level plans across Sales and Technical Success. You will drive headcount and investment planning, own target setting frameworks, influence segmentation and org design, and lead cross-functional planning processes that align the business around a shared operating plan. This role requires strong analytical rigor, deep knowledge of GTM strategy, financial modeling expertise, and the ability to influence senior stakeholders with a thoughtful, “best for the business” mindset.

You’ll be responsible for:

Partner with Strategic Finance and GTM Leadership to translate company financial plans into regional and segment-level targets, investment priorities, and operating plans

Build investment and resourcing plans across GTM to ensure capacity is aligned with strategic priorities and supports our financial plan

Lead bi-annual planning cycles end-to-end, driving cross-functional alignment across Finance, GTM Leadership, Field Operations, Data, and Enablement

Translate top-down plans into individual field targets that drive accountability, motivation, and performance management across the revenue organization

Own attainment, productivity, and performance analyses to identify risks, opportunities, and areas for operational improvement

Develop data-driven recommendations that guide GTM strategy, including segmentation and org design

Serve as a trusted strategic partner to GTM Leadership, balancing analytical rigor with strong stakeholder management and organizational influence

We’re looking for someone with:

8–10+ years of experience in GTM strategy and operations, business operations, strategic finance, consulting, or a related analytical function

Strong financial modeling and planning experience, with the ability to connect business strategy to targets, headcount, and investment decisions

Deep understanding of GTM strategy, operating models and the key levers that drive productivity and growth

Deep understanding of SaaS and consumption-based revenue models and GTM motions within high-growth technology environments

Proven experience leading complex cross-functional planning processes and driving alignment across senior stakeholders

Exceptional analytical and problem-solving skills with a strong bias toward data-driven decision-making

Strong executive communication skills, with the ability to distill complexity into clear recommendations and influence leadership decisions

Nice to have:  

Experience working with AI products, platform businesses, or technical GTM organizations is highly preferred

People Management experience

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-06T19:04:04.753Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Backend Software Engineer, Applied Foundations]]></title>
    <date>2026-05-07T18:51:08.865Z</date>
    <referencenumber>cmpgih2pl03gkv2xqfwdefzsd</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/backend-software-engineer-applied-foundations-a901b688</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Applications Engineering organization builds and operates the products (such as ChatGPT &amp; Codex) that bring our cutting-edge research to millions of users and developers worldwide. 

The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity &amp; access, to safety to payments &amp; commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale.

About the Role

We’re hiring Backend Software Engineers to design and implement safe services and infrastructure that power our core products.

What You’ll Do

Architect, build, and improve scalable backend systems and APIs.

Drive performance, reliability, and safety across distributed services.

Implement data storage, retrieval, compute, and integration solutions.

Participate in long-term architectural planning and technical design reviews.

Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience.

You Might Thrive Here If You:

Have strong experience with distributed systems, APIs, and backend languages (e.g., Go, Python, Rust, C++).

Have experience setting up and maintaining production backend services and data pipelines.

Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

Enjoy building resilient services that handle large scale and complexity.

Are self-directed and enjoy figuring out the best way to solve a particular problem

Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[ChatGPT, Codex, APIs, Distributed Systems, Python, Rust]]></skills>
    <expirationdate>2026-07-06T18:51:08.865Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[State Government Affairs Lead (Northeast Region)]]></title>
    <date>2026-05-07T18:17:30.113Z</date>
    <referencenumber>cmpgigzy902xiv2xqsydch8j4</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/state-government-affairs-lead-northeast-region-76f73977</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York City]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamOpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Achieving that goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Our Global Affairs team builds authentic, collaborative relationships with public officials and the policymaking community to inform and support our shared work. We ensure that insights from policymakers inform our efforts and – in collaboration with colleagues and external stakeholders – advance regulation, industry standards, and the safe, beneficial development of AI tools.

About the RoleAs a State Government Affairs Lead, Northeast Region, you will be part of a team leading OpenAI’s engagement with state and local governments across the Northeast, including New York, Pennsylvania, and other key states throughout the region.
Reporting to the Head of U.S. State Policy and Partnerships, you will develop and maintain relationships with elected officials, agency leaders, local government representatives, and other key stakeholders across your assigned states. You will serve as a primary representative of OpenAI’s policy interests in the Northeast and help shape regional strategies that advance OpenAI’s broader policy goals and mission.
OpenAI releases industry-leading research and tools, and you will face new challenges as the impact of cutting-edge generative AI technologies continues to be explored and as the needs of the organization evolve. Day-to-day work may include shaping strategic initiatives and policy documents, preparing OpenAI leaders for engagements with government officials, and representing OpenAI in private and public forums across the region.
You will also collaborate with civil society and industry partners, and advise internal teams on state and local-level opportunities, risks, and policy developments. Your work will span strategic advocacy, regulatory engagement, stakeholder coordination, and policy development, with a focus on building durable relationships and executing thoughtful engagement strategies across the Northeast.
We are looking for a self-directed and creative individual with significant state government advocacy experience, experience managing private sector and civil society relationships, and a sophisticated understanding of AI-related legislative and regulatory issues and processes. Technical knowledge related to generative AI models is highly desirable.

This role will require frequent travel throughout the Northeast region to participate in meetings, events, and engagements with key stakeholders. We offer relocation assistance to new employees.

You should thrive in this role if you:Are deeply familiar with state and local government policies and processes, particularly those impacting AI, energy, infrastructure, and emerging technologies.

Are a strategic coalition builder and campaign manager who thrives on cross-functional collaboration and public-private partnerships.

Are highly organized, accountable, and capable of leading complex campaigns and initiatives across multiple stakeholders.

Are passionate about responsible AI adoption and its intersection with economic growth, energy systems, and infrastructure development.

You might thrive in this role if you:Demonstrated knowledge and understanding of the U.S. political system, institutions, and processes – particularly state governments – and the key policy issues and debates related to AI

Experience advocating at the state government level

Experience managing consultants at the state level

Strong experience in technology policy

Track record of effectively working with cross-functional teams, especially engineering and research teams, and aligning a diverse range of internal and external partners

Sound judgment and outstanding personal integrity

Ability to execute in fast and flexible environments through rapid cycles of analysis, decision, and action

Excellent communication, presentation, and interpersonal skills, with the ability to convey complex technical and policy concepts to diverse audiences

Strong strategic thinking, problem-solving, and project management skills

Genuine care and knowledge about the impact of technology on society

Previous work on AI issues and technical AI development expertise a significant plus

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex,]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Generative AI]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Generative AI, Project Management]]></skills>
    <expirationdate>2026-07-06T18:17:30.113Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Backend Engineer (Infra), Core Sending]]></title>
    <date>2026-05-07T18:00:56.729Z</date>
    <referencenumber>cmpgih4k203kcv2xq1hrmaq0l</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/backend-engineer-core-sending-f1fc47d6</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Americas / Remote / Full-time]]></city>
    <country>ES</country>
    <description><![CDATA[Resend is growing fast, and there are now over 2 million developers using it. As the Core Sending Squad, we are responsible for building and maintaining the core components of Resend that handle sending transactional and marketing emails.

This role is fully remote-based in Americas or European time zones, with some expected travel for team off-sites, conferences, meetups, and more.

Read more about how we work, how we hire, and what we value here.

In this role, you will…Help define the architecture to support millions of daily API requests

Build and scale infrastructure to send dozens of millions of emails per day

Improve high availability across distributed applications

Scale databases like Postgres and Clickhouse to ensure that they are performant

Enhance observability by using monitoring tools like Datadog

Refine disaster recovery plans to ensure that recovery is quick and reliable

Help to build our infrastructure with IaC frameworks like CDK and TF

Work with Typescript and Golang

Design and operate async pipelines (queues, streams, idempotency, retries, DLQs) that move tens of millions of messages per day

Be on-call rotation (for critical services)

You will be a great fit if you...8+ years of back-end engineering with a focus on cloud infrastructure

Are fluent in writing and speaking English

Thrive in open-ended problems and situations

Have supported large workloads on AWS

You love helping other developers

“Default to action” kind of person

Hands-on on solving problems

Experience with event-driven systems at scale. Kafka, SQS/SNS, or similar.

Low ego

You will be an exceptional fit if you also...Have experience working on applications with a high workload

Know about email best practices, or are willing to learn more about this space

Are experienced in Typescript and Golang

What it means to join the team:Autonomy to "just ship it"

100% remote team with flexible working schedules

Modern tech stack

Honest and low-ego team

Ownership of problems and solutions

Comp: $150,000 - $170,000 USD, commensurate with experience

About ResendWe are building the modern email sending platform for developers. We care deeply about quality, craft, and the developer experience.

Our fully remote team of 45 spans 13 countries and counting. We're backed by a16z, Y Combinator, and others. Meet the humans →]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Datadog, TypeScript, Cloud, AWS, Kafka]]></skills>
    <expirationdate>2026-07-06T18:00:56.729Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Account Director, Insurance]]></title>
    <date>2026-05-07T14:34:31.344Z</date>
    <referencenumber>cmpgih0rk033gv2xqg23pupp2</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/account-director-insurance-f8e846f1</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York City]]></city>
    <country>US</country>
    <description><![CDATA[About the team

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

As an Account Director focused on Insurance you will own executive-level relationships with leading Insurance organizations. You’ll help these companies safely and effectively deploy OpenAI’s technology to accelerate financial data analysis, automate backend operations, drive AI-powered research, and personalize customer engagement.

This role blends literacy, technical depth, business acumen, and relationship-driven enterprise sales. You will collaborate closely with researchers, engineers, and financial services solution strategists to design secure, compliant, and high-impact AI deployments.

This role is based in New York City or San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

In this role, you’ll:

Manage a focused portfolio of Financial Services, specifically Insurance accounts, developing long-term strategic account plans

Lead complex, multi-stakeholder sales cycles 

Partner with solutions and research engineering to design pilots that demonstrate measurable business impact

Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated environments

Own a revenue and consumption target; manage forecasts and pipeline reporting

Monitor industry and regulatory trends to guide customer and product strategy

Represent OpenAI at industry conferences and thought-leadership events (e.g., Money2020)

Partner cross-functionally with marketing, partnerships, and communications to build the Financial Services go-to-market motion

You might thrive in this role if you:

14+ total years selling complex enterprise software or platform-as-a-service solutions

4+ years selling to Financial Insurance organizations

Proven success achieving annual revenue targets &gt;$2M+ in regulated industries

Experience managing C-suite relationships

Strong understanding of financial services workflows

Demonstrated ability to design and execute complex deal and partnership strategies

Are customer-centric and can translate complex business needs into transformative AI solutions

Are a builder who enjoys designing scalable systems and repeatable sales motions from the ground up

Are a strategist who anticipates industry shifts and guides enterprise customers through them

Are energized by ambiguity and motivated to create structure and clarity across complex, cross-functional engagements

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected informat]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-06T14:34:31.344Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Machine Learning Engineer, Personalization, Magenta]]></title>
    <date>2026-05-07T13:42:39.865Z</date>
    <referencenumber>cmpgigndz02kuv2xqtlgd2qx2</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-machine-learning-engineer-personalization-magenta-fdf7b3ab</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

 The Personalization team at Spotify makes deciding what to listen to next feel effortless for hundreds of millions of users — from Discover Weekly to our newest AI-powered experiences. We’re now building conversational AI capabilities that let users interact with Spotify in natural language. You’ll join a squad working at the core of this space, shaping how users discover and engage with audio through intelligent, responsive systems.

What You'll Do
Design and ship production-grade machine learning systems powering conversational and agentic AI experiences
Build systems that interpret user intent, manage context across multi-turn interactions, and handle ambiguity reliably at scale
Develop and evolve agentic workflows including memory, context management, and multi-step tool orchestration
Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and guide iteration
Partner closely with product, engineering, and design to deliver seamless, user-facing experiences
Balance experimentation with production rigor, ensuring performance, latency, and reliability at Spotify scale
Continuously improve agent behavior through tight feedback loops between evaluation and real-world usage

Who You Are 

You have 5+ years of experience building and shipping machine learning systems in production environments
You are experienced with large language models and have worked on real-world applications beyond experimentation; shipped and maintained large scale systems with LLMs
You have a deep understanding of challenges in conversational or agentic systems, such as context handling and multi-step reasoning
You know how to evaluate ML systems rigorously and have experience designing metrics or evaluation pipelines
You are comfortable debugging complex interactions between models, tools, and system constraints like latency
You care about building reliable, scalable systems that deliver high-quality user experiences
You enjoy working cross-functionally and contributing to a collaborative, inclusive team environment

Where You'll Be

This role is based in New York
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home

The United States base range for this position is $184,050- $262,928 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Machine Learning, LLMs, ML Systems]]></skills>
    <expirationdate>2026-07-06T13:42:39.865Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Deployment Engineer - Startups]]></title>
    <date>2026-05-07T07:52:43.272Z</date>
    <referencenumber>cmpgih2mm03g0v2xq7aur6nv0</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-deployment-engineer-startups-a4e6847f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[About the team

The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior.

This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems.

About the role

We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction.

This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice.

This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. 

In this role, you will:

Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement.

Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value.

Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development.

Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases.

Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement.

Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.

You’ll thrive in this role if you:

Have strong software engineering &amp; AI fundamentals. For example, experience as a startup CTO, software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus.

Have experience as a technical founder, or engineer at an early stage startup

Have familiarity with, or interest in, model training pipelines and reinforcement learning.

Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows.

Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals.

Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration.

Communicate clearly across technical and non-technical audiences.

Bring high agency, strong product sense, and a bias toward building durable improvements rather than one-off fixes

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Reinforcement Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Reinforcement Learning]]></skills>
    <expirationdate>2026-07-06T07:52:43.272Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Deployment Engineer - Startups]]></title>
    <date>2026-05-07T07:50:01.636Z</date>
    <referencenumber>cmpgih2m003fwv2xqsoi8nxvq</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-deployment-engineer-startups-92d7e583</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Paris]]></city>
    <country>FR</country>
    <description><![CDATA[About the team

The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior.

This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems.

This role is based in Paris. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. We require fluency in French for this role. 

About the role

We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction.

This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice.

In this role, you will:

Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement.

Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value.

Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development.

Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases.

Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement.

Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.

You’ll thrive in this role if you:

Have strong software engineering &amp; AI fundamentals. For example, experience as a startup CTO, software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus.

Have experience as a technical founder, or engineer at an early stage startup

Have familiarity with, or interest in, model training pipelines and reinforcement learning.

Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows.

Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals.

Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration.

Communicate clearly across technical and non-technical audiences.

Bring high agency, strong product sense, and a bias toward building durable improvements rather than one-off fixes

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Reinforcement Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Reinforcement Learning]]></skills>
    <expirationdate>2026-07-06T07:50:01.636Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Deployment Engineer - Startups]]></title>
    <date>2026-05-07T07:49:07.213Z</date>
    <referencenumber>cmpgih2n703g4v2xq60unmrmw</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-deployment-engineer-startups-deb94696</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Munich]]></city>
    <country>DE</country>
    <description><![CDATA[About the team

The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior.

This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems.

This role is based in Munich. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. We require proficiency in German for this role.

About the role

We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction.

This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice.

In this role, you will:

Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement.

Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value.

Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development.

Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases.

Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement.

Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.

You’ll thrive in this role if you:

Have strong software engineering &amp; AI fundamentals. For example, experience as a startup CTO, software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus.

Have experience as a technical founder, or engineer at an early stage startup

Have familiarity with, or interest in, model training pipelines and reinforcement learning.

Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows.

Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals.

Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration.

Communicate clearly across technical and non-technical audiences.

Bring high agency, strong product sense, and a bias toward building durable improvements rather than one-off fixes

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance A]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Reinforcement Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Reinforcement Learning]]></skills>
    <expirationdate>2026-07-06T07:49:07.213Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Executive Business Partner, APAC]]></title>
    <date>2026-05-07T01:52:45.405Z</date>
    <referencenumber>cmpgih2l803fqv2xqtfhw7ogt</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/executive-business-partner-apac-5593bfd4</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI is expanding its presence across the Asia Pacific region under the leadership of our APAC Managing Director, the senior in-region business leader with end-to-end responsibility for OpenAI’s presence in APAC. The MD will build and scale the regional organization, balancing commercial execution, ecosystem development, government and regulatory engagement, and brand leadership across diverse markets. In this role, you’ll support the MD and help the team they are building operate effectively by creating structure, driving coordination, and strengthening operating cadence across countries, stakeholders, and time zones.

Our Executive Business Partners serve as trusted advisors and collaborators to OpenAI's executives and leaders, focused on strong communication and operational excellence across teams. With a focus on elevating the impact and efficiency of leadership, we anticipate needs, streamline processes, and provide comprehensive support to ensure our executives can focus on high-impact initiatives. We play a pivotal role in driving success and achieving key milestones by cultivating strong relationships and leveraging our deep understanding of business objectives. With a commitment to excellence and a proactive approach, we are dedicated to empowering our executives and contributing to the overall growth and success of the company.

Our leadership team reflects OpenAI’s culture and core values and is a mission-driven, kind, and thoughtful group. We take pride in creating a work environment that fosters collaboration, open communication, and authenticity, making OpenAI an excellent place to work for highly accomplished professionals.

About the Role

The Executive Business Partner will be a proactive and adaptable partner to executives, managing complex scheduling, coordinating projects, and optimizing workflows. This role requires independence, task-level ownership, and a deep understanding of OpenAI’s mission to foster AGI that benefits humanity. The ideal candidate is comfortable with ambiguity, rapidly-evolving business priorities, and can drive best practices to help scale exec and team operations.

This role is based in Singapore. We follow a hybrid work model of three days in the office each week.

In this role, you will:

Build strong connections within the immediate team and across other departments, becoming a trusted partner to leaders. This includes an understanding of team dynamics, priorities, and stakeholders, facilitating seamless coordination on high-stakes projects.

Excel in sharing information clearly and efficiently, adapting communication styles for a broad range of audiences.

Balance the calendars and priorities of multiple leaders, demonstrating prioritization skills and agility in adapting to shifts in priorities, while maintaining accuracy and meeting deadlines.

Operate with discretion and independence, proactively optimizing processes and flagging risks, while ensuring sensitive information is handled with care.

You might thrive in this role if you:

5+ years experience in a cross-functional executive assistant role or similar support function.

Successfully supported multiple leaders in the past.

Worked in a hard tech startup or similar environment.

Experience working across APAC markets and collaborating with U.S.-based HQ teams.

High cross-cultural EQ and ability to tailor communication styles for diverse stakeholders.

Strong operational rigor — able to run cadences, track priorities, and maintain alignment across time zones.

Comfortable supporting complex, rapid travel across international regions.

Strong communication - being able to tailor a message appropriate to a specific audience (writing an email to a Senator vs. a Customer vs. an Exec)

Discretion - this role will have exposure to sensitive knowledge so must be rock solid on confidentiality

Humility/diplomacy - this role has the potential to accrue power in a unique ways, but we want this person to be decisive and make noncontroversial decisions

Very fluent in Google Calendar, Docs, Sheets, Gmail, etc. and other modern productivity software, and are excited to learn and use new tools.

Genuine interest in the technology we’re building and the transformative potential of AI

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic informati]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Excel]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Excel, Google Calendar, Gmail]]></skills>
    <expirationdate>2026-07-06T01:52:45.405Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Revenue Strategy & Operations - Central Cadence]]></title>
    <date>2026-05-07T01:39:06.290Z</date>
    <referencenumber>cmpgih2lq03fuv2xqkd2tiipy</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/revenue-strategy-operations-central-cadence-75f2d86f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamOpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team helps customers deploy and realize value from OpenAI’s products across their businesses. The team spans Sales, Solutions, Support, Marketing, Partnerships, and Operations working together to scale AI adoption globally.

Within GTM, the Strategy &amp; Operations organization builds the operational systems, workflows, analytics, and infrastructure that power the business. As AI rapidly transforms how work gets done, we are building a new class of AI-native internal tooling and workflows to accelerate productivity, improve decision-making, and scale execution across Sales, Solutions, and Revenue Operations.

About the RoleThis role sits at the intersection of Revenue Operations, AI product development, systems design, and workflow engineering. You will work directly with Sales, Solutions, RevOps, and GTM leadership to identify high-leverage operational problems and rapidly prototype and deploy AI-powered solutions using OpenAI’s products, APIs, Codex, and automation platforms.

You will act as both a builder and operator — deeply understanding GTM workflows while designing practical AI systems that improve field productivity, operational scale, forecasting quality, account planning, pipeline management, customer execution, and internal decision-making.

This role is ideal for someone who enjoys translating ambiguous business problems into working AI-native systems and wants to help define how modern GTM organizations operate in an AI-first world.

In this role, you will:Identify opportunities where AI can improve the quality, speed, scale, and effectiveness of GTM operations and field execution

Design and deploy AI-native workflows that combine agents, automation, systems integrations, and human review

Build internal tooling and operational accelerators using OpenAI APIs, Codex, Salesforce, automation platforms, and lightweight applications

Rapidly prototype and iterate on solutions that improve forecasting, pipeline management, account planning, territory operations, deal execution, customer insights, and productivity

Partner directly with Sales, Solutions, RevOps, Systems, Finance, and Enablement teams to operationalize AI into day-to-day workflows

Build reusable “golden workflows,” templates, and operational tooling that can scale across the GTM organization

Translate operational pain points into practical AI-enabled systems and automation opportunities

Help define best practices, governance, and guardrails for deploying AI within GTM operational workflows

Drive adoption through hands-on training, pair building sessions, documentation, and direct collaboration with operators

Serve as a strategic thought partner to GTM leadership on how AI can reshape operational processes and field productivity

You might thrive in this role if you:Have a strong systems and product mindset and enjoy turning ambiguous business problems into scalable solutions

Are excited about applying frontier AI capabilities to real operational and go-to-market workflows

Enjoy building practical systems quickly and iterating directly with users

Can deeply understand business processes while also thinking technically about architecture, integrations, and workflow design

Are comfortable operating across technical and non-technical stakeholders

Have experience with CRM systems, RevOps workflows, forecasting processes, analytics tooling, or GTM operations

Have experience building automations, internal tools, integrations, or AI workflows in production environments

Are highly analytical and comfortable using data to drive operational decisions

Thrive in ambiguity and can prioritize high-impact opportunities across multiple stakeholders

Have experimented with AI-native development tooling such as Codex, agents, workflow orchestration tools, or automation platforms

Experience5+ years in Revenue Operations, Sales Operations, Business Systems, Workflow Engineering, Solutions Engineering, Product Operations, or related roles

Experience building internal tools, workflow automations, AI-powered systems, or operational infrastructure

Familiarity with APIs, automation frameworks, lightweight scripting, or AI workflow tooling

Experience working with GTM systems such as Salesforce, analytics tooling, forecasting systems, or workflow platforms

Strong analytical and operational problem-solving skills

Experience deploying systems used by operators in production environments

Ability to balance rapid experimentation with scalable operational design

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capab]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[APIs]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[APIs, Codex, Salesforce, Operators]]></skills>
    <expirationdate>2026-07-06T01:39:06.290Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Core Network Engineering]]></title>
    <date>2026-05-06T23:09:35.505Z</date>
    <referencenumber>cmpgih2qx03guv2xqfrz4uo9n</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-core-network-engineering-84565551</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe Core Network Engineering team owns the end-to-end networking stack that connects OpenAI’s compute infrastructure — spanning global WAN/edge connectivity, data-center networking, and high-performance host/xPU networking used for large-scale training and inference workloads.

This team is responsible for ensuring networking is never the bottleneck to model training efficiency, cluster reliability, or fleet expansion. They design and operate the systems that provide predictable, high-throughput, low-latency connectivity across some of the world’s most advanced AI infrastructure.

About the RoleWe’re looking for engineers to help build and operate the networking foundation behind OpenAI’s frontier AI systems.

Depending on your background and area of focus, you may work across host networking, datacenter fabrics, or global WAN infrastructure. The problems span low-level systems software, distributed infrastructure, protocol readiness, observability, performance engineering, automation, and large-scale network operations.

You’ll work on systems where microseconds of latency, tail performance, and network reliability directly impact model training efficiency and production serving performance.

This role is ideal for engineers who enjoy operating close to the hardware/software boundary and solving performance-critical infrastructure problems at massive scale.

In this role, you will:Design, build, and operate networking systems that support large-scale AI training and inference infrastructure

Improve performance, reliability, and scalability across host networking, datacenter fabrics, and WAN systems

Develop automation for provisioning, configuration management, validation, upgrades, and lifecycle management of networking infrastructure

Build tooling and observability systems for network health, performance analysis, debugging, and automated remediation

Optimize network performance across technologies such as RDMA, RoCE, InfiniBand, Ethernet, and high-performance GPU interconnects

Define and operationalize networking protocols, readiness criteria, and continuous validation systems

Partner closely with compute, storage, hardware, and infrastructure teams to ensure networking scales predictably with fleet growth

Contribute to architecture decisions around topology design, capacity planning, failure domains, and network reliability

Diagnose complex distributed systems and networking issues across large heterogeneous compute environments

You might thrive in this role if you:Have experience building or operating large-scale networking or distributed systems infrastructure

Are comfortable working close to the hardware/software boundary

Have experience with Linux networking, kernel systems, NICs, RDMA, or performance-sensitive infrastructure software

Have worked with high-performance networking technologies such as InfiniBand, RoCE, DPDK, or large-scale Ethernet fabrics

Have experience with datacenter networking, WAN systems, or host networking stacks

Enjoy debugging complex systems and performance bottlenecks across multiple layers of the stack

Are comfortable writing production software in languages such as C++, Python, or Go

Have strong systems fundamentals across networking, operating systems, distributed systems, or infrastructure engineering

Are motivated by building infrastructure that directly accelerates frontier AI research and deployment

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Distributed Systems]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Distributed Systems, Linux, Python]]></skills>
    <expirationdate>2026-07-05T23:09:35.505Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Associate General Counsel, Executive Compensation & Benefits]]></title>
    <date>2026-05-06T21:01:01.194Z</date>
    <referencenumber>cmpgih2oo03gev2xqwut2x8lf</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/associate-general-counsel-executive-compensation-benefits-de4bc736</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax, regulatory, and litigation.

About the Role

As Associate General Counsel, Executive Compensation &amp; Benefits, you will lead legal support for OpenAI’s executive compensation, employee benefits and equity compensation programs. You will partner closely with People, Finance, Equity, Accounting, Tax, Investor Relations and other teams on compensation committee and board matters, global benefits plan design, governance and administration, executive and employee compensation arrangements, disclosure and transaction support, and related processes and controls. This role will report to our Deputy General Counsel, Corporate &amp; Employment.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week.

In this role, you will:

Advise on a broad range of executive compensation and employee benefits matters, including senior executive, employee, severance, incentive, equity, retention and global benefits arrangements, as well as related plan administration and governance.

Serve as the primary legal advisor for all Compensation Committee matters.

Counsel on equity compensation and employee ownership programs, including equity plan administration, grants, incentive and related programs, securities compliance, and related processes.

Partner closely with cross-functional teams across the company, including People, Finance, Equity, Accounting, Tax, Corporate Development, Investor Relations and other teams, on compensation, benefits, equity compensation, global benefits administration, shareholder engagement and governance matters.

Support equity, compensation and benefits aspects of capital markets, financing, M&amp;A, and other strategic transactions.

Develop and scale legal processes and frameworks for executive compensation, employee benefits, global benefits administration, equity compensation and compensation governance.

You might thrive in this role if you:

Have 12+ years of combined legal experience at fast-paced technology companies and technology-focused law firms.

Have significant experience advising on executive compensation, equity compensation, employee benefits, global benefits administration, compensation governance and related matters.

Have working knowledge of securities, tax, benefits, employment and corporate governance issues that arise in compensation, equity, and benefits programs.

Familiarity with executive compensation practices, including benchmarking, disclosure considerations, and governance standards.

Have a strong sense of ownership, are inquisitive and enthusiastic about technology, enjoy being continually challenged, and can demonstrate sound judgment in ambiguous situations.

Exceptional written and verbal communication skills, with comfort producing board-level and executive-ready materials.

High integrity, sound judgment, and discretion when handling sensitive executive information.

Have a JD and license or qualification to practice in CA.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-05T21:01:01.194Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Advanced Packaging Multi-Physics Modeling Engineer]]></title>
    <date>2026-05-06T20:12:03.095Z</date>
    <referencenumber>cmpgih2oz03ggv2xqjwt5aooq</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/advanced-packaging-multi-physics-modeling-engineer-caca556f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team:OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

Role Overview:We are seeking a highly motivated engineer to lead multi-physics modeling and simulation for next-generation advanced packaging systems. This role focuses on the co-optimization of thermal, mechanical, and electrical interactions across chip, package, and system levels to enable high-performance AI/HPC advanced packaging solutions.

The candidate will collaborate closely with cross-functional engineering teams and external partners to predict and optimize package mechanical, electrical and thermal performance, and system scalability for advanced heterogeneous integration platforms.

In this role you will:Lead multi-physics modeling and simulation across thermal, mechanical, and electrical domains for next-generation AI/HPC advanced packaging systems.

Drive co-optimization of chip, package, and system interactions to improve power integrity, thermal performance, mechanical reliability, and overall package scalability.

Develop and validate electro-thermal-mechanical simulation methodologies for heterogeneous integration platforms including 2.5D/3D packaging, HBM integration, and chiplet architectures.

Perform reliability assessment and root-cause analysis for package warpage, stress, underfill interaction, solder fatigue, electromigration, and thermo-mechanical failures.

Correlate simulation results with silicon, hardware measurements, and reliability test data to improve modeling accuracy and design predictability.

You might thrive in this role if you have:Enjoy solving extremely challenging thermal, mechanical and electrical challenges for some of the most advanced AI/HPC packaging technology.

Are motivated by pushing the limits of heterogeneous integration, high-power delivery, advanced cooling, and large-scale packaging architectures.

Like developing new modeling methodologies and engineering solutions rather than relying only on conventional industry approaches.

Want to influence real product architecture decisions through simulation-driven insights across chip, package, cooling, and system design.

Enjoy learning broadly across semiconductor technologies, including chip architecture, power delivery, package integration, materials, cooling, and system-level interactions.

Strong experience in thermal and mechanical modeling for advanced packaging systems.

Solid understanding of electro-thermal interactions and temperature-dependent electrical behavior.

Experience solving complex chip/package/system integration challenges using multi-physics simulation and first-principles engineering approaches.

Hands-on experience with finite element analysis (FEA) and multi-physics simulation tools such as ANSYS, COMSOL, Abaqus, Icepak, or equivalent.

Knowledge of package reliability mechanisms including warpage, solder fatigue, underfill stress, electromigration (EM), and thermo-mechanical interactions.

Preferred Qualifications:Strong understanding of electro-thermal interactions and temperature-dependent electrical behavior in high-performance computing applications.

Familiarity with advanced packaging design including CoWoS, EMIB, chiplets, HBM integration, and 3D stacking.

Familiarity with advanced packaging technologies, design flows, materials, and manufacturing processes including CoWoS, EMIB, chiplets, HBM integration, and 3D stacking.

MS or PhD in Mechanical Engineering, Electrical Engineering, Materials Science, Physics, or a related technical field.

Strong communication, cross-functional collaboration, and technical leadership skills

To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic inf]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Flows]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Flows]]></skills>
    <expirationdate>2026-07-05T20:12:03.095Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Partner Manager - Search, Commerce]]></title>
    <date>2026-05-06T20:09:45.596Z</date>
    <referencenumber>cmpgih2nq03g8v2xq737jq1ai</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/partner-manager-search-commerce-265b2f44</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the team
We are a small and fast-moving partnerships team that shapes and executes all aspects of collaboration with the largest partners. Your mission in this role is to maintain and scale partnerships spanning consumer products. You will build deep relationships, ensure we have the right strategic partners, lead cross-functional workstreams and advance OpenAI’s mission.

About the role
We are seeking a skilled generalist who can rapidly context switch but have a background working closely with product leaders and expertise in strategic deals. You’re able to drive work at high velocity and can motivate external and internal partners, including product, engineering, and operations. You operate with independence and focus, finding creative solutions to unlock growth and innovation.

 In this role, you will:

Own and scale our most strategic search and commerce partnerships: Drive day-to-day partnership strategy and execution across priority partners, working closely with product, engineering, research, sales, finance, legal, and marketing to align roadmaps and deliver outcomes.

Support partnership deal execution: Support commercial negotiations from partner evaluation through launch, expansion, and renewal, including both product integrations and commercial terms.

Operate as a cross-functional driver: Coordinate internal teams and external partners to launch, manage, and optimize partnership initiatives end-to-end.

Serve as the internal advocate for partners, aligning product and cross-functional teams to partner goals, applying thoughtful pushback on roadmap tradeoffs, and driving accountability against agreed success metrics.

Run partner operating cadence: Establish and manage working rhythms with partners (business reviews, planning sessions, issue resolution), escalating and aligning with senior stakeholders as needed.

Track and communicate impact: Define success metrics, monitor performance (adoption, revenue, usage, satisfaction), and clearly communicate progress, risks, and opportunities to internal stakeholders.

Build strong partner relationships: Serve as a primary point of contact for partner counterparts, building trust and identifying new opportunities for collaboration and growth.

 You might thrive in this role if you:

6+ years of experience in business development, product partnerships, or product within the technology industry.

Proven experience supporting or leading strategic partnerships, including technical/product integrations.

Strong cross-functional operator with experience working closely with product, engineering, legal, finance, and sales teams to execute complex initiatives.

Experience working on or alongside shopping, search, marketplace, content, or large-scale consumer platforms with a strong understanding of engagement dynamics.

Skilled relationship builder with clear, effective communication across both internal and partner organizations.

Self-directed and adaptable, comfortable operating in fast-moving environments with evolving priorities and partial ambiguity.

Past experience working at high growth companies is preferred.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties requ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-05T20:09:45.596Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Partnerships Deal Lead - Search, Commerce]]></title>
    <date>2026-05-06T20:09:34.365Z</date>
    <referencenumber>cmpgih2o003gav2xq2bnngj2v</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/partnerships-deal-lead-search-commerce-5b97d93a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the team
We are a small and fast-moving partnerships team that shapes and executes across high-impact collaborations and product partnerships. Your mission in this role is to identify, structure, and close strategic partnerships spanning products within search and commerce. You will help define where partnerships can create outsized product and business value, shape the right deal structures, lead cross-functional workstreams, and advance OpenAI’s mission by helping programmatically scale this work.

About the role
We are seeking a skilled generalist who can rapidly context switch but have a background working closely with product leaders and expertise in strategic deal-making. You’re able to drive work at high velocity and can motivate external and internal stakeholders, including product, engineering, finance, legal, and operations. You operate with independence and focus, finding creative solutions to unlock growth, get partnerships signed, and turn agreements into durable outcomes.

 In this role, you will:

Drive Search and Commerce deals: Identify, prioritize, and advance partnership opportunities across distribution, content, commerce, and data partners, working closely with product, engineering, research, sales, finance, legal, and marketing.

Lead complex commercial structures: Structure and negotiate partnership agreements spanning product integrations, distribution, content access, commerce enablement, and customized commercial frameworks, managing the full lifecycle from sourcing and diligence through signing.

Drive end-to-end deal execution: Own partner coordination, internal approvals, open items, and decision-making workstreams to move partnerships efficiently from thesis through close and launch.

Shape joint product and go-to-market strategy: Collaborate closely with internal stakeholders to define scope, align incentives, navigate tradeoffs, and translate partnership ideas into executable launches.

Operate as a cross-functional driver: Coordinate internal teams and external partners to launch priority partnerships end-to-end, unblock dependencies, and ensure strong execution post-signature.

Track and communicate impact: Define success metrics, evaluate tradeoffs, and clearly communicate progress, risks, and expansion opportunities to internal stakeholders.

Build senior partner relationships: Serve as a primary point of contact for partner counterparts, build trust with decision-makers, and create momentum through ambiguity and complex negotiations.

 You might thrive in this role if you:

6+ years of experience in business development, product partnerships, corporate development, consulting, investment banking, or product within the technology industry.

Strong experience structuring and negotiating complex deals that span product integrations, distribution partnerships, commercial frameworks, and long-term expansion paths.

Strong cross-functional operator with experience working closely with product, engineering, legal, finance, and sales teams to execute complex initiatives.

Experience working on or alongside search, commerce, marketplace, content, or large-scale consumer platforms with a strong understanding of ecosystem, user, and monetization dynamics.

Skilled relationship builder with strong strategic judgment and clear, effective communication across senior internal and partner organizations.

Self-directed and adaptable, comfortable operating in fast-moving environments with evolving priorities and partial ambiguity.

Past experience working at high growth companies preferred.

 

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negativ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-05T20:09:34.365Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[GTM Business Operations & Strategy Lead, Platform]]></title>
    <date>2026-05-06T17:25:43.789Z</date>
    <referencenumber>cmpgih2bi03dqv2xqwczjs8gs</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/gtm-business-operations-strategy-lead-platform-af1f0a00</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe GTM Strategy &amp; Growth team drives the growth and evolution of our B2B business across products, customer segments, and routes to market. We partner closely with Product, Sales, Success, Data Science, Finance, and Marketing to define and execute go-to-market strategies for new product launches, commercialization models, customer growth initiatives, and market expansion opportunities.

Our work sits at the intersection of product strategy, growth, and operations — shaping how we bring products to market, how we measure success, and how we scale adoption across customer segments. We operate across both strategic and highly operational domains, from defining long-term growth bets and commercial strategy to building launch plans, tracking performance, and driving cross-functional execution across the business.

About the RoleWe’re looking for an exceptional leader to join our GTM Strategy &amp; Growth team focused on driving go-to-market strategy for our API business. This role is ideal for someone who combines strong product intuition with thoughtful and nuanced GTM strategy, and who can flex seamlessly between high-level strategic thinking and operational execution.

You’ll play a central role in shaping how new API products and platform capabilities are commercialized and scaled. This includes defining growth strategies, customer segmentation approaches, launch success metrics, and commercialization models in close partnership with Product, Pricing, Data Science, Finance, Sales, and Customer Success.

You should be highly analytical, deeply comfortable with technical products and API businesses, and experienced navigating complex cross-functional environments. The ideal candidate understands how GTM organizations operate at scale and can translate customer, product, and market insights into actionable growth strategies.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:Lead go-to-market strategy for our API business, partnering closely with Product and GTM leadership to define growth priorities and commercialization approaches.

Define north star goals, launch success metrics, and operating KPIs for new product launches, and monitor performance in partnership with Data Science and Analytics teams.

Develop GTM growth strategies and strategic bets for new products, capabilities, customer motions, and market opportunities.

Define customer segmentation frameworks and tailored strategies for different customer profiles, industries, and stages of adoption.

Partner with Product teams to provide structured customer feedback, market insights, and prioritization input that influences product roadmap decisions.

Collaborate with Pricing, Finance, and Product teams to design commercial models, packaging, and monetization strategies, ensuring downstream GTM execution aligns with the broader commercial strategy.

Conduct market, competitive, and customer research to identify whitespace opportunities and inform strategic decision-making.

Partner cross-functionally with Sales, Customer Success, Marketing, Product, Finance, and Operations to align on priorities and execute against business goals.

Evaluate business performance and recommend adjustments to GTM strategy based on data, customer insights, and market dynamics.

You might thrive in this role if you:Have 10+ years of experience across GTM strategy, business operations, management consulting, product strategy, finance, or related functions in high-growth technology environments.

Bring strong fluency in data and analytics, with the ability to define meaningful success metrics, interpret performance trends, and drive data-informed decision-making.

Have experience working with technical or API-based products and understand the nuances of developer and enterprise GTM motions.

Possess a deep understanding of B2B GTM operating models across Sales, Success, Product, Marketing, and Operations.

Have demonstrated success leading complex cross-functional initiatives that span strategy, operations, and execution.

Are equally comfortable defining long-term strategic direction and diving into operational details to ensure execution excellence.

Bring strong product intuition and can effectively partner with Product teams to shape roadmap prioritization and commercialization strategy.

Have experience developing pricing, packaging, or monetization strategies in partnership with Product and Finance teams.

Thrive in ambiguous, fast-moving environments and can bring structure and clarity to complex business problems.

Are an exceptional communicator and collaborator who can influence senior stakeholders across technical and non-technical teams.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the ca]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-05T17:25:43.789Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[GTM Business Operations & Strategy Lead, Codex]]></title>
    <date>2026-05-06T17:25:22.045Z</date>
    <referencenumber>cmpgih2d803e4v2xqdhvakcu4</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/gtm-business-operations-strategy-lead-codex-cb8a731b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe GTM Strategy &amp; Growth team drives the growth and evolution of our B2B business across products, customer segments, and routes to market. We partner closely with Product, Sales, Success, Data Science, Finance, and Marketing to define and execute go-to-market strategies for new product launches, commercialization models, customer growth initiatives, and market expansion opportunities.

Our work sits at the intersection of product strategy, growth, and operations — shaping how we bring products to market, how we measure success, and how we scale adoption across customer segments. We operate across both strategic and highly operational domains, from defining long-term growth bets and commercial strategy to building launch plans, tracking performance, and driving cross-functional execution across the business.

About the RoleWe’re looking for an exceptional leader to join our GTM Strategy &amp; Growth team focused on driving go-to-market strategy for our Codex business. This role is ideal for someone who combines strong product intuition with thoughtful and nuanced GTM strategy, and who can flex seamlessly between high-level strategic thinking and operational execution.

You’ll play a central role in shaping how new Codex products and platform capabilities are commercialized and scaled. This includes defining growth strategies, customer segmentation approaches, launch success metrics, and commercialization models in close partnership with Product, Pricing, Data Science, Finance, Sales, and Customer Success.

You should be highly analytical, deeply comfortable with technical products and developer businesses, and experienced navigating complex cross-functional environments. The ideal candidate understands how GTM organizations operate at scale and can translate customer, product, and market insights into actionable growth strategies.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:Lead go-to-market strategy for our Codex business, partnering closely with Product and GTM leadership to define growth priorities and commercialization approaches.

Define north star goals, launch success metrics, and operating KPIs for new product launches, and monitor performance in partnership with Data Science and Analytics teams.

Develop GTM growth strategies and strategic bets for new products, capabilities, customer motions, and market opportunities.

Define customer segmentation frameworks and tailored strategies for different customer profiles, industries, and stages of adoption.

Partner with Product teams to provide structured customer feedback, market insights, and prioritization input that influences product roadmap decisions.

Collaborate with Pricing, Finance, and Product teams to design commercial models, packaging, and monetization strategies, ensuring downstream GTM execution aligns with the broader commercial strategy.

Conduct market, competitive, and customer research to identify whitespace opportunities and inform strategic decision-making.

Partner cross-functionally with Sales, Customer Success, Marketing, Product, Finance, and Operations to align on priorities and execute against business goals.

Evaluate business performance and recommend adjustments to GTM strategy based on data, customer insights, and market dynamics.

You might thrive in this role if you:Have 10+ years of experience across GTM strategy, business operations, management consulting, product strategy, finance, or related functions in high-growth technology environments.

Bring strong fluency in data and analytics, with the ability to define meaningful success metrics, interpret performance trends, and drive data-informed decision-making.

Have experience working with technical or developer-based products and understand the nuances of developer and enterprise GTM motions.

Possess a deep understanding of B2B GTM operating models across Sales, Success, Product, Marketing, and Operations.

Have demonstrated success leading complex cross-functional initiatives that span strategy, operations, and execution.

Are equally comfortable defining long-term strategic direction and diving into operational details to ensure execution excellence.

Bring strong product intuition and can effectively partner with Product teams to shape roadmap prioritization and commercialization strategy.

Have experience developing pricing, packaging, or monetization strategies in partnership with Product and Finance teams.

Thrive in ambiguous, fast-moving environments and can bring structure and clarity to complex business problems.

Are an exceptional communicator and collaborator who can influence senior stakeholders across technical and non-technical teams.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the bo]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex]]></skills>
    <expirationdate>2026-07-05T17:25:22.045Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Events Manager, Internal & Workplace]]></title>
    <date>2026-05-06T16:51:10.315Z</date>
    <referencenumber>cmpgihjce03puv2xqin3pm1b8</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/events-manager-internal-workplace-27358218</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the role

As an Event Manager, you will be responsible for end-to-end ownership of hosted events, from strategy and concept through onsite execution and production. You’ll sit on the Brand Events team, and you’ll have a team of peers to partner with, learn from, and build together. Each Event Manager drives a specific domain, goes deep on your vertical, and is the trusted partner for your stakeholders within that vertical.

This role focuses on Cursor employees and hosted experiences in our offices. You'll be responsible for making internal Cursor events feel like Cursor, building the playbook for inviting attendees into our offices, and creating experiences that inspire Cursor employees.

What you’ll do

You will report to the Events Lead and be one of the founding members of the Brand Events Team.

Help define and build what industry-leading events look like at Cursor — setting standards and creating a playbook that scales.

End-to-end event ownership, including event strategy, concept, agenda, attendee journey, venue selection, vendor management, run-of-show, staffing, budgets, timelines, retros, and outcome tracking.

Define goals, target audiences, and success criteria for each event — then track outcomes and iterate to improve signal and experience.

Coordinate cross-functionally with business owners, Brand, Comms, Recruiting, Ops, IT, Physical Security, and Facilities.

Be on the ground for key moments, ensuring every detail meets a high standard of quality.

Internal focus

Own the end-to-end strategy and execution for office-based events that bring Cursor culture to life—spanning internal moments and externally attended hosted experiences at HQ.

Oversee our global annual Holiday Parties.

Build and maintain an “office event playbook”: space standards, room resets, wayfinding/signage, staffing roles, vendor roster, load-in/load-out, catering standards, and repeatable run-of-show templates across our growing fleet of offices.

In partnership with the Events Lead, help define and enforce event intake + tiering/scoping, including lead-time expectations, required stakeholders by tier, and what is centrally supported vs self-serve.

Partner with the audience Event Managers (e.g., recruiting/community/field) to deliver externally attended office events; providing the venue + workplace production layer (space plan, guest journey, onsite ops), while they own audience strategy and content.

Be the core cross-functional partner to Workplace/Facilities, IT/AV, Physical Security, and Ops to align on building policies, access/guest protocols, room standards, and day-of escalation paths.

Define success metrics for office events and track outcomes (e.g., stakeholder satisfaction, operational quality, issue rate, timeliness, budget variance, repeatability), and use retros to continuously raise the bar.

You may be a fit if

You have 5+ years of experience running professional events

Comfortable owning $4M+ event budgets

You have experience owning workplace events events or high-touch internal programs

You’re comfortable working in ambiguity and have experience building event programs and owning events in fast-paced environments, ideally in tech

You care deeply about details and craft, and notice things others don’t

You’re highly operational and can manage multiple complex workstreams, managing agency and production partners.

You have strong taste and judgment about what makes an experience feel exceptional

You thrive in an in-person environment and are energized to be closely embedded with the team]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cursor]]></skills>
    <expirationdate>2026-07-05T16:51:10.315Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product & Privacy Counsel]]></title>
    <date>2026-05-06T15:28:31.185Z</date>
    <referencenumber>cmpgih6f403mwv2xqi37fsfvz</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-privacy-counsel-b8192ce4</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About SupabaseSupabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

About the RoleWe’re looking for a Product and Privacy Counsel to join our Legal team and partner closely with Product, Engineering, Security, Go To Market, and Leadership.

This person will help Supabase ship products faster while managing legal, privacy, regulatory, compliance and open source risk thoughtfully. You’ll work on product counseling, open source licensing, privacy and compliance reviews, product launch guidance, customer facing terms, and internal legal frameworks that help the company scale.

This is a strong fit for someone who enjoys working with technical teams, is comfortable in ambiguity, and can turn complex legal issues into practical business guidance.

What You’ll Be Responsible ForAct as primary counsel for product and engineering teams from concept through launch

Advise on legal issues related to product development, data usage, privacy, security, AI, integrations, and APIs

Partner with Engineering and Product on privacy, AI and compliance questions

Build scalable product launch review processes, legal checklists, internal guidance, and playbooks

Own and drive, global privacy, data protection, and AI governance strategy, including regulatory compliance across relevant jurisdictions

Advise on global privacy, regulatory, and compliance considerations related to Supabase products

Support customer and GTM teams on privacy related contract issues, product terms, security and privacy questions, and enterprise risk reviews

Help develop and maintain legal frameworks for AI and data usage, product claims, third party integrations, and partner and customer facing commitments

Partner cross functionally with Security, Finance, Product, Engineering, Sales, Marketing and People as Supabase scales

Serve as a key legal voice on cross-functional leadership decisions, including on matters of regulatory risk, privacy posture, and product strategy

What You Have8 to 12+ years of legal experience, including meaningful in-house privacy counsel experience preferably at global SaaS organizations handling sensitive customer data

Strong experience advising technical product, SaaS, cloud, developer tools, data, AI, security, or infrastructure teams

Working knowledge of privacy, data protection, and product compliance

Ability to translate legal risk into practical, business minded recommendations

Strong written communication and async collaboration skills

Experience building scalable legal processes, templates, playbooks, or product review frameworks

Licensed to practice law in at least one jurisdiction

Track record of operating with meaningful autonomy and contributing to legal function leadership

Nice to HavesExperience at a globally operating open source, developer tools, cloud infrastructure, database, AI, data, or security company

Privacy certification such as CIPP/E or CIPP/US

Experience with AI and data governance, model and data usage rights, or emerging product compliance issues

Experience supporting enterprise SaaS customers or security and privacy reviews

What You AreBusiness minded and pragmatic

Product oriented, not just risk oriented

Clear, concise, and comfortable communicating with technical teams

Self directed and comfortable working async

Good at simplifying complexity

Comfortable with ambiguity and fast moving product decisions

High judgment, low ego, and willing to build the practical systems that help legal scale

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ te]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Vector Search, APIs, Cloud]]></skills>
    <expirationdate>2026-07-05T15:28:31.185Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Staff Machine Learning Engineer - Policy & Safety]]></title>
    <date>2026-05-06T12:27:43.931Z</date>
    <referencenumber>cmpgignn402mmv2xq2jkh1c3w</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/staff-machine-learning-engineer-policy-safety-67280262</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

About the TeamThe Policy &amp; Safety team sits within the Content Platform domain and builds the systems that keep Spotify safe and trustworthy at scale. We own the infrastructure behind content moderation, including detection models, policy enforcement systems, compliance pipelines, and the safety-by-default platform.

Our work sits on the critical path of every new content type and product experience—from messaging and comments to collaborative and agentic features. We partner closely with Trust &amp; Safety, Legal, and Public Affairs to ensure that as Spotify evolves, safety is built in from the start—not added later.

What You Will Do

Build and scale machine learning systems for proactive content detection, classification, and pre-publish safety scanning
Design and implement policy evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
Develop multimodal models that combine text, audio, image, and video signals for safety and policy enforcement
Architect feedback loops that turn human reviewer input into structured training data for continuous model improvement
Translate regulatory requirements (e.g., precision/recall obligations, compliance reporting) into scalable ML system designs
Partner with cross-functional teams across Trust &amp; Safety, Legal, Public Affairs, and Product to deliver safe user experiences
Drive technical direction in ambiguous problem spaces and contribute to long-term platform architecture
Mentor and support other machine learning engineers, helping raise the bar across the team

Who You Are

You have experience building and shipping production-grade machine learning systems at scale
You have strong expertise in ML evaluation, including dataset design, metrics, and model performance monitoring
You have worked with multimodal machine learning systems across text, audio, image, or video domains
You are experienced with human-in-the-loop systems, active learning, or feedback-driven model improvement
You are comfortable translating complex requirements into technical solutions, including regulatory or policy constraints
You have experience working across teams and influencing technical direction in large-scale systems
You are comfortable navigating ambiguity and making thoughtful decisions that balance speed, quality, and risk
You communicate clearly and collaborate effectively with both technical and non-technical stakeholders

Where You Will Be

This role is based in New York, NY
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $227,495–$324,993 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and paid sick leave. These ranges may be modified in the future.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Machine Learning]]></skills>
    <expirationdate>2026-07-05T12:27:43.931Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Staff Machine Learning Engineer - Policy & Safety]]></title>
    <date>2026-05-06T12:16:59.212Z</date>
    <referencenumber>cmpgignnb02mov2xqea2du7uc</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/staff-machine-learning-engineer-policy-safety-952c1c32</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

About the TeamThe Policy &amp; Safety team sits within the Content Platform domain and builds the systems that keep Spotify safe and trustworthy at scale. We own the infrastructure behind content moderation, including detection models, policy enforcement systems, compliance pipelines, and the safety-by-default platform.

Our work is critical to every new content type and product experience—from messaging and comments to collaborative and emerging AI-driven features. We partner closely with Trust &amp; Safety, Legal, and Public Affairs to ensure that safety is built into Spotify experiences from the start.

What You Will Do

Build and scale machine learning systems for proactive content detection, classification, and pre-publish safety scanning
Design and implement policy evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
Develop multimodal models that combine text, audio, image, and video signals for safety and policy enforcement
Architect feedback loops that turn reviewer input into structured training data for continuous model improvement
Translate regulatory requirements into scalable ML system designs, including accuracy and reporting expectations
Partner with cross-functional teams across Trust &amp; Safety, Legal, Public Affairs, and Product to deliver safe user experiences
Drive technical direction in ambiguous problem spaces and contribute to long-term platform architecture
Mentor and support other machine learning engineers, helping grow technical capability across the team

Who You Are

You have experience building and shipping production-grade machine learning systems at scale
You are experienced with ML evaluation, including dataset design, metrics, and model performance monitoring
You have worked with multimodal machine learning across text, audio, image, or video domains
You have experience with human-in-the-loop systems, active learning, or feedback-driven model improvement
You are comfortable translating complex requirements into technical solutions, including policy or regulatory constraints
You are experienced working across teams and influencing technical direction in large systems
You are comfortable navigating ambiguity and making thoughtful trade-offs between speed, quality, and risk
You communicate clearly and collaborate effectively with both technical and non-technical partners

Where You Will Be

This role is based in London or Stockholm
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Machine Learning]]></skills>
    <expirationdate>2026-07-05T12:16:59.212Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Networking Operating System Firmware Engineer]]></title>
    <date>2026-05-06T02:48:12.721Z</date>
    <referencenumber>cmpgih2lh03fsv2xqvipt9stp</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/networking-operating-system-firmware-engineer-43a6d0dd</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamOpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

Role summaryWe are seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you will build and maintain custom NOS images from scratch, using open source components from SONiC, SAI, FRR, and related networking stacks while working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers.

This is a software engineering role that requires a deep understanding of networking, NOS internals, switch hardware, and production systems. You will design, implement, test, and debug production NOS software across platform drivers, routing and control-plane state, ASIC programming, observability, and fleet integration. The engineer in this role should be able to work through ambiguous, open-ended technical problems and drive feature development across software, hardware, and vendor boundaries.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you willDesign, develop, and maintain custom NOS images for large-scale AI fabrics, using open source components from SONiC, FRR, and related networking stacks.

Integrate, build and configure Linux kernel components, device drivers, switch ASIC SDKs, and SAI layers.

Bring up new switch platforms, including thermal and fan control, power monitoring, transceiver management, watchdogs, OSFP CMIS, LEDs, CPLDs, and board-specific platform logic.

Extend and customize NOS services for routing, telemetry, control-plane state, and distributed automation.

Implement and debug route, neighbor, next-hop, and ECMP programming flows from control-plane intent through ASIC hardware state.

Build software mechanisms that distinguish control-plane acceptance, SAI/SDK acceptance, and explicit hardware programming acknowledgement.

Work with hardware teams to validate ASIC configurations, link bring-up, SerDes tuning, buffer profiles, and performance baselines.

Evaluate switch silicon SDK releases, track vendor deliverables, and validate platform requirements with vendors and ASIC partners.

Debug complex issues spanning kernel drivers, platform monitoring, NOS services, routing agents, orchestration services, hardware signals, ASIC state, and network topology.

Integrate switches into fleet-wide monitoring, remote diagnostics, telemetry pipelines, and automated lifecycle workflows.

Develop robust CI/build pipelines for reproducible NOS builds and controlled rollout across the fleet.

Support factory bring-up and qualification all the way through mass deployment.

Collaborate on networking protocols and technologies that improve performance and reliability at AI factory scale.

You might thrive in this role if you haveProven experience working with SONiC or comparable NOS stacks such as FBOSS, Cumulus Linux, Arista EOS, Junos PFE-level integration, or equivalent platform software.

Strong software engineering fundamentals: clear interfaces, data models, state-machine design, error handling, testing, observability, performance debugging, and maintainable C/C++, Python, Go or Rust code.

Experience with Linux kernel internals, network device drivers, platform drivers, hwmon, I2C/SMBus, CPLDs, or board-level platform software.

Experience integrating or debugging Broadcom, Marvell, NVIDIA, Intel, or comparable switch ASIC SDKs and SAI implementations.

Understanding of L2/L3 forwarding, ECMP, RoCE, BGP, QoS, PFC, buffer tuning, and telemetry.

Experience with platform bring-up and board-level debugging across thermal, fan, power, transceiver, LED, watchdog, CPLD, or OSFP CMIS flows.

Experience with OpenConfig gNMI interfaces, YANG data models, or structured telemetry is helpful.

Familiarity with CI/CD pipelines, distributed config and state management, reproducible builds, and large-scale automation.

Ability to independently drive ambiguous NOS or platform feature development from problem definition through implementation, validation, rollout, and debugging across software, hardware, and vendor boundaries.

Familiarity with Rust or Go is a plus.

To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.

About OpenAI

OpenAI is an AI research and deployment comp]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Bootstrap]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Bootstrap, Linux, Flows, Python, Rust, CI/CD]]></skills>
    <expirationdate>2026-07-05T02:48:12.721Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AWS Specialist Seller, Strategic Pursuits]]></title>
    <date>2026-05-05T22:00:25.256Z</date>
    <referencenumber>cmpgih28e03d4v2xqytwnorbx</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/aws-specialist-seller-strategic-pursuits-034f3e59</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the team
OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing together world-class scientists, engineers, and business leaders to translate frontier research into real-world impact.

Within OpenAI, the Go-to-Market organization helps customers understand, adopt, and scale our products across their businesses. The team includes Sales, Solutions, Support, Marketing, Partnerships, and Strategic Pursuits professionals who work together to bring the benefits of AI to organizations globally.

About the role
We are hiring a Senior Specialist Seller to join the Strategic Pursuits team and lead priority opportunities generated through the joint AWS and OpenAI co-sell motion. You will partner closely with Account Directors, AWS field teams, and cross-functional stakeholders to identify, shape, advance, and close high-value strategic enterprise engagements.

This role is ideal for a senior seller with deep experience in enterprise technology, AI, cloud, or complex transformation sales motions. You should be comfortable operating in executive-facing environments, aligning multiple stakeholders, and turning customer priorities into commercially compelling and technically credible opportunities.

This role is based in San Francisco, Seattle, or New York. We operate on a hybrid model of 3 days per week in office and offer relocation support. We are also open to remote candidates based in the United States.

In this role, you will:

Lead commercial execution of priority AWS/OpenAI co-sell opportunities across strategic enterprise accounts.

Identify and qualify high-potential opportunities focused on GenAI adoption, frontier platform use cases, and enterprise-wide transformation.

Partner with AWS and OpenAI field teams to align account strategy, messaging, stakeholder mapping, and execution plans.

Develop customer-facing value propositions that connect OpenAI capabilities with business priorities and AWS infrastructure strategies.

Drive executive-level engagement including customer meetings, business case development, negotiations, and account reviews.

Coordinate cross-functionally with Sales, Partnerships, Solutions Architecture, Product, Legal, Finance, and Deal Desk teams to progress complex opportunities.

Build repeatable co-sell playbooks, qualification frameworks, account planning processes, and sales assets to scale the joint motion.

Manage pipeline health, forecasting inputs, deal risks, blockers, and escalation needs across assigned pursuits.

Serve as a trusted advisor to Account Directors by bringing strategic selling expertise and deal-structuring judgment.

Maintain awareness of competitive dynamics across hyperscalers, GenAI platforms, and enterprise AI vendors.

You might thrive in this role if you:

Have 15+ years of experience in enterprise sales, strategic business development, cloud partnerships, or complex technology go-to-market roles.

Have a strong track record of shaping and closing large-scale enterprise technology deals.

Bring experience in AI, GenAI, cloud, data, enterprise software, or professional services sales.

Have worked in overlay sales, specialist seller, strategic pursuits, or partner-led co-sell environments.

Understand AWS commercial models, enterprise account planning, cloud commitments, and partner operating rhythms.

Can engage credibly with CIOs, CTOs, CDOs, business leaders, procurement teams, and partner executives.

Demonstrate strong commercial judgment in opportunity qualification, deal strategy, and escalation management.

Thrive in ambiguity and can build new operating motions from the ground up.

Communicate clearly and synthesize technical, customer, and commercial inputs into actionable recommendations.

Have prior experience at AWS, another major cloud provider, a leading enterprise software company, or a high-growth AI company.

Understand partner-led sales motions involving hyperscalers, GSIs, or strategic technology partners.

Bring familiarity with enterprise AI use cases across industries such as financial services, healthcare, retail, manufacturing, technology, energy, or public sector.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additio]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[AWS]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[AWS, Cloud, GenAI]]></skills>
    <expirationdate>2026-07-04T22:00:25.256Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Private Equity Lead]]></title>
    <date>2026-05-05T20:37:00.425Z</date>
    <referencenumber>cmpgih2kq03fmv2xqifl0eope</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/private-equity-lead-1cddc1d9</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York City]]></city>
    <country>US</country>
    <description><![CDATA[About the RoleAs Private Equity Lead, you will serve as a senior front-line commercial leader responsible for building and scaling OpenAI’s private equity segment.

You will own the strategy for how we win with private equity firms and their portfolio companies, serve as a senior external relationship leader with sponsors, operating partners, and portfolio executives, and partner cross-functionally to drive durable revenue growth through disciplined origination, account development, and execution.

 Key ResponsibilitiesOwn the private equity GTM strategy, including sponsor prioritization, account selection, coverage design, and investment allocation.

Serve as the senior relationship lead for private equity firms, operating partners, deal teams, and key portfolio executives, building trust at the highest levels.

Drive origination, pipeline creation, and revenue growth across both direct sponsor relationships and portfolio company opportunities.

Shape how OpenAI lands, expands, and retains business in sponsor-backed environments, balancing near-term commercial wins with long-term platform adoption.

Build a high-accountability front-line operating model with strong inspection rhythms, forecasting rigor, and clear performance expectations.

Translate sponsor priorities and portfolio value-creation goals into commercial opportunities and scalable AI solutions.

Drive execution on complex, multi-stakeholder deals with senior business leaders, technical stakeholders, procurement, legal, security, and operating partners.

Build credibility with PE firms as a strategic commercial partner who understands both investment priorities and operating realities across portfolio companies.

Develop account plans and expansion strategies that connect sponsor relationships to repeatable portfolio-level growth.

Partner closely with industry leaders, product, solutions, legal, policy, security, and finance teams to remove blockers and accelerate high-value opportunities.

Represent the voice of private equity customers internally, influencing product priorities, messaging, packaging, and commercial strategy.

Partner with marketing and field teams to refine the private equity narrative and build repeatable demand-generation and expansion motions.

Help structure commercial frameworks, approval paths, and resource allocation decisions that align customer needs with OpenAI’s growth objectives.

Ensure strong collaboration across pre-sales and post-sales teams so customers move from evaluation to production with clear ownership and long-term success plans.

 What We’re Looking For15–20 years of experience leading enterprise sales or go-to-market organizations, with substantial time in senior front-line leadership roles.

Demonstrated success owning and scaling large, complex strategic-account or segment businesses with clear revenue accountability.

Strong credibility with senior external stakeholders and a clear point of view on how to build durable sponsor and portfolio relationships.

Strong expertise in private equity or adjacent relationship-driven enterprise ecosystems, with an understanding of how to create leverage across firms and portfolio companies.

Exceptional operating rigor, including business planning, forecasting, performance management, and data-driven decision-making.

A low-ego, high-standards leader who can influence across functions and build trust with executives, peers, and teams.

Comfort leading through ambiguity and change while building structure, clarity, and durable execution in a fast-moving environment.

Experience building new motions, segments, or strategic-account businesses is strongly preferred.

Skills/experienceNon-negotiables:

Deep experience leading complex enterprise or strategic commercial motions with clear revenue ownership.

Strong credibility in private equity, financial sponsors, or adjacent relationship-driven ecosystems.

15–20 years of experience in enterprise sales or GTM leadership, including meaningful front-line leadership experience.

Proven ability to build strategy and operating cadence for consultative, multi-stakeholder, high-value sales motions.

Strong talent leadership, with a track record of hiring, coaching, and elevating senior commercial talent.

Strong Preferences:

Experience in AI, cloud, platform, or other highly technical product environments.

Experience navigating both sponsor-level and portfolio-company-level relationships.

Experience influencing product, legal, or commercial decisions based on customer needs and market feedback.

Experience with consumption-based and platform sales models.

Coachables/Nice to Have:

Direct OpenAI experience is not required if the candidate can quickly build fluency in AI platforms and articulate business value credibly.

Experience working across both high-growth and large-scale enterprise environments.

Experience building a segment from early structure to repeatable scale.

About OpenAI

OpenAI is an AI research an]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud]]></skills>
    <expirationdate>2026-07-04T20:37:00.425Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Associate Partner Development Manager (AMER)]]></title>
    <date>2026-05-05T20:22:59.238Z</date>
    <referencenumber>cmpgih67x03lqv2xqmk94fa8y</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/associate-partner-development-manager-amer-abde6102</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[AMER]]></city>
    <country>ES</country>
    <description><![CDATA[About SupabaseSupabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

Start in minutes with a fully managed, scalable Postgres database and a suite of tools that eliminate the complexity of backend development. Use one or use all—Supabase gives teams the flexibility of open source with the speed and simplicity of a modern platform, so they can move fast without sacrificing control.

The RoleWe are seeking a Associate Partner Development Manager to execute on our partnership pipeline for AI builders and developer tools. In this role, you’ll work closely with our growth, success, and marketing teams to assess and execute partnership opportunities with AI builders and developer tooling organizations.

What You Will DoEngagement: Proactively engage with builders and platforms using Supabase—especially within modern “vibe coding” environments.

Pipeline Execution: Work closely with internal teams (Product, Engineering, Marketing, and Sales) to help execute a pipeline of partnership opportunities.

Partner Management: Manage onboarded partners, providing co-marketing support to help increase adoption.

Market Intelligence: Monitor trends across AI-assisted development, open-source infrastructure, and developer workflows to identify new ecosystem opportunities.

Ecosystem Growth: Help grow Supabase’s presence within next-generation coding platforms by building relationships with founders, developers, and platform teams.

Who You AreExperience: Recent MBA graduate or 2–5 years of professional work experience (e.g., junior associate in VC, consulting, or business development).

Domain Knowledge: Familiarity with open-source technologies, SaaS models, or developer ecosystems.

Strategic Mindset: Experience with market research, strategic analysis, or partnership development, ideally within the open-source space.

Analytical: Detail-oriented, with the ability to identify trends and assess business opportunities.

Communicator: Excellent communication skills with the ability to engage stakeholders and present findings clearly.

Self-Starter: Self-motivated, proactive, and capable of managing projects independently.

Nice to HaveExperience building side projects or prototypes using Supabase in conjunction with AI-powered tools (e.g., Lovable, Bolt, Figma, v0, etc.).

Familiarity with open-source communities or developer GTM (Go-To-Market) strategies.

Internship or early experience at a startup, VC firm, or developer tooling company.

Exposure to AI/LLM-powered developer tools and workflows.

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Hiring ProcessWe keep things simple, async-friendly, and respectful of your time:

Apply – Our team will review your application.

Intro Call – A short video chat to get to know each other.

Interviews – Up to four calls with:

Team Leads

Future teammates

Someone cross-functional from product, growth, or engineering (depending on the role)

Someone from our leadership/founding team

Decision – We may follow up with a final question or go straight to offer.

All communication is remote and we aim to move fast.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Vector Search, Backend Development, Figma]]></skills>
    <expirationdate>2026-07-04T20:22:59.238Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Lifecycle Manager]]></title>
    <date>2026-05-05T18:53:03.509Z</date>
    <referencenumber>cmpgih1p1039sv2xqyso1q0mc</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-lifecycle-manager-96f603be</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe Consumer Product Operations team is responsible for enabling the successful development, launch, and sustainment of next-generation AI-powered consumer hardware products. We work cross-functionally across Engineering, Operations, Supply Chain, Manufacturing, and Systems to build scalable operational infrastructure that supports rapid innovation and world-class execution.

About the RoleAs an Operations Product Specialist / Product Lifecycle Manager (PLM), you will own the operational lifecycle of products from early development through ramp, sustainment, and end-of-life. This role is accountable for product data integrity, part- and BOM-level governance, and readiness across systems, materials, and builds. You will ensure the right product configurations are released, built, and supported at every stage of the product lifecycle.

We’re looking for someone who thrives in highly cross-functional environments, enjoys operating in the details, and can build scalable operational processes in fast-moving hardware organizations. This is a hands-on role sitting at the intersection of Engineering, Operations, Supply Chain, Manufacturing, and Systems.

This role is based in San Francisco, CA. We use a hybrid work model of 4 days in the office per week and offer relocation assistance to new employees.

In this role, you will:Product lifecycle ownershipOwn product lifecycle definitions and transitions across development, pilot, ramp, sustainment, and end-of-life phases.

Ensure product configurations, BOMs, and documentation are accurate and released at each lifecycle stage.

Drive lifecycle readiness reviews tied to build and launch milestones.

Part, BOM &amp; revision controlOwn part-level and BOM-level revision control across PLM, ERP, and downstream systems.

Manage engineering change processes (ECOs), ensuring changes are properly reviewed, approved, released, and communicated.

Ensure correct revisions are procured, kitted, and built at each phase.

Resolve revision mismatches, late changes, and build-impacting escapes.

Material drive &amp; build readinessLead material readiness for builds in partnership with Supply Chain and Manufacturing.

Ensure BOM completeness, sourcing readiness, and material availability ahead of operations and ramp builds.

Systems &amp; data governanceOwn PLM data quality and governance standards across parts, BOMs, configurations, and lifecycle states.

Partner with systems teams to define and improve PLM, ERP, and integration workflows.

Ensure product data supports operational execution, reporting, and scalability.

Drive adoption of standard workflows and reduce manual workarounds.

You might thrive in this role if you:Have deep experience with PLM systems, BOMs, ECOs, and revision control.

Have hands-on experience supporting operations and factory builds.

Possess strong operational judgment and exceptional attention to detail.

Are comfortable operating in ambiguity and early-stage environments.

Are a clear communicator who can drive alignment across technical and operational teams.

Enjoy building scalable systems and processes that support fast-moving hardware development.

Have experience working cross-functionally with Engineering, Manufacturing, Supply Chain, and Systems teams.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termina]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-04T18:53:03.509Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Protection Scientist Engineer, Integrity]]></title>
    <date>2026-05-05T16:58:58.756Z</date>
    <referencenumber>cmpgigzkc02tyv2xqzd91mixi</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/protection-scientist-engineer-integrity-00156c5a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn.

The Protection Scientist Engineer, Integrity team supports this by identifying and investigating misuses of our products – especially new types of abuse. This enables our partner teams to develop data-backed product policies and build scaled safety mitigations. Precisely understanding abuse allows us to safely enable users to build useful things with our products.

About the Role

Protection Science Engineering is an interdisciplinary role mixing data science, machine learning, investigation, and policy/protocol development. As a Protection Scientist Engineer within Integrity and Investigations, you will be responsible for designing and building systems to proactively identify and enforce on abuse on OpenAI’s products. This includes ensuring we have robust abuse monitoring in place for new products, sustaining monitoring for existing products, and prototyping and incubating systems of defense against our highest risk harms.  You will also respond to and investigate critical escalations, especially those that are not caught by our existing safety systems. This will require expert understanding of our products and data, and involves working cross-functionally with product, policy, and engineering teams.

This role can be based in either our San Francisco, DC or NY office and includes participation in an on-call rotation that will involve resolving urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise-disturbing material.

In this role, you will:

Scope and implement abuse monitoring requirements for new product launches.

Improve processes to sustain monitoring operations for existing products, including developing approaches to automate monitoring subtasks.

Prototype and mature into production systems of detection, review, and enforcement of abuse for major harms.

Work with Product, Policy, Ops, and Investigative teams to understand key risks and how to address them, and with Engineering teams to ensure we have sufficient data and scaled tooling.

You might thrive in this role if you:

Have at least 4 years of experience doing technical analysis and detection, especially using SQL and Python.

Have experience in trust and safety and/or have worked closely with policy, enforcement, and engineering teams. An investigative mindset is key.

Have experience with basic data engineering, such as building core tables or writing data pipelines in production, and with machine learning principles and execution. Basic software development skills are a plus as this role writes productionised code.

Have experience scaling and automating processes, especially with language models.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a repor]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Machine Learning, SQL, Python]]></skills>
    <expirationdate>2026-07-04T16:58:58.756Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Staff Machine Learning Engineer - Content Intelligence]]></title>
    <date>2026-05-05T15:35:42.926Z</date>
    <referencenumber>cmpgignmu02mkv2xqj18rdjdl</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/staff-machine-learning-engineer-content-intelligence-81203154</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow—driven by advances in AI and new creation tools—we’re building intelligent systems that can evaluate, manage, and route content reliably at global scale.

We’re seeking a Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify. In this role, you’ll work on systems that generate deep, machine-readable understanding of content across audio, video, text, and images—enabling automation, improving quality, and unlocking new product experiences. This work is central to delivering safe, high-quality, and differentiated experiences for millions of listeners and creators worldwide.

What You Will Do

Build and scale machine learning systems that generate deep understanding of content across modalities
Develop models for classification, tagging, semantic understanding, and content enrichment
Create high quality content enrichment at scale using LLMs and agentic systems.
Design systems that make content intelligence signals available to downstream teams and products
Improve automation for content quality, safety, and metadata enrichment at scale
Collaborate with product, policy, and engineering teams to translate content intelligence into user impact
Contribute to evaluation frameworks, data pipelines, and annotation systems
Support rapid experimentation to prototype and launch new types of content signals
Help improve system reliability, scalability, and performance across large datasets

Who You Are

You have experience building and deploying machine learning systems in production
You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar
You have experience working with large datasets and care about data quality and evaluation
You are interested in or have worked with multimodal machine learning
You understand how to design systems that balance automation with quality and user experience
You are comfortable working on complex problems with evolving requirements
You think in systems and understand how models connect to product outcomes
You communicate clearly and work well across technical and non-technical teams

Where You Will Be
This role is based in London or Stockholm
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Machine Learning, ML Systems, LLMs, PyTorch, TensorFlow]]></skills>
    <expirationdate>2026-07-04T15:35:42.926Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Staff Machine Learning Engineer - Content Intelligence]]></title>
    <date>2026-05-05T15:01:24.343Z</date>
    <referencenumber>cmpgignml02miv2xq1cdnbku3</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/staff-machine-learning-engineer-content-intelligence-2206f0e0</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[We design Spotify’s consumer experience - end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow—driven by advances in AI and new creation tools—we’re building intelligent systems that can evaluate, manage, and route content reliably at global scale.

We’re seeking a Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify. In this role, you’ll work on systems that generate deep, machine-readable understanding of content across audio, video, text, and images—enabling automation, improving quality, and unlocking new product experiences. This work is central to delivering safe, high-quality, and differentiated experiences for millions of listeners and creators worldwide.

What You Will Do

Build and scale machine learning systems that generate deep understanding of content across modalities

Develop models for classification, tagging, semantic understanding, and content enrichment

Create high quality content enrichment at scale using LLMs and agentic systems.

Design systems that make content intelligence signals available to downstream teams and products

Improve automation for content quality, safety, and metadata enrichment at scale

Collaborate with product, policy, and engineering teams to translate content intelligence into user impact

Contribute to evaluation frameworks, data pipelines, and annotation systems

Support rapid experimentation to prototype and launch new types of content signals

Help improve system reliability, scalability, and performance across large datasets

Who You Are

You have experience building and deploying machine learning systems in production

You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar

You have experience working with large datasets and care about data quality and evaluation

You are interested in or have worked with multimodal machine learning

You understand how to design systems that balance automation with quality and user experience

You are comfortable working on complex problems with evolving requirements

You think in systems and understand how models connect to product outcomes

You communicate clearly and work well across technical and non-technical teams

Where You Will Be
This role is based in New York, NY

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is 227,495–324,993 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and paid sick leave. These ranges may be modified in the future.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Machine Learning, ML Systems, LLMs, PyTorch, TensorFlow]]></skills>
    <expirationdate>2026-07-04T15:01:24.343Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Full Stack Engineer - Podcast]]></title>
    <date>2026-05-05T10:35:39.379Z</date>
    <referencenumber>cmpgigmsw02gcv2xq9ua5uoal</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/full-stack-engineer-podcast-670e4ceb</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[Podcast R&amp;D is a product and technology team within Podcast Vertical at Spotify, focused on building best-in-class tools for creators. We own the platforms, tools, and features that power the creator experience allowing podcasters and publishers to host, create, and distribute their content, grow and engage their audiences, and earn revenue on Spotify.

This Backend leaning Full Stack role is part of the New Value area, a cross-functional team working across business, product, design, and insights to identify, evaluate, launch, and scale new content verticals and revenue models. Our ambition is to evolve the Podcast Vertical into a general-purpose creator and publisher platform that delivers meaningful value to Spotify Premium and drives over $1B in incremental revenue.

You’ll play a key role within a diverse, distributed squad focused on subscriptions and fandom experiences - including Synced Feeds, the creator tooling that drives subscription awareness and conversion on Spotify; the Spotify Open Access API (SOA), which enables third-party - hosted subscriptions; and new first-party products in the subscription content space. In the year ahead, the squad will focus on building a new, scalable version of Spotify’s native subscription offering, enhancing Synced Feeds, and evolving SOA. Put together, these efforts are establishing a strong foundation for creators of all sizes to monetize their fans directly on Spotify.

 
What You'll Do 

Design, build and maintain scalable backend services (Java)
Be an active part of creating and evolving APIs and services that connect user experiences with internal scalable infrastructure, while applying product requirements
Drive improvements to system architecture, performance, and developer experience
Develop and enhance our user-facing layer and frontend SDKs (React/Typescript)
Collaborate closely with a talented group of engineers, product managers, designers and data specialists across multiple teams
Contribute to technical discussions and help shape platform decisions

Who You Are

You are experienced in designing and developing backend applications in Java.
You have a solid understanding of React, and TypeScript and are passionate about delivering end-to-end experiences and software architecture across the back-end, front-end, and the APIs that glue them together.
You have a growth mindset, are curious, and are not afraid to be experimental. You share your ideas and continuously improve yourself and the team around you.
Experience with infrastructure-related technologies is a plus.
You care about agile software development and a culture of constant learning and improvement.
You have excellent analytical and problem-solving skills and can communicate your ideas.
You have experience and passion for mentoring and encouraging collaborative teams.

Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
This team operates within the Eastern Standard time zone for collaboration.

The United States base range for this position is $150,000 - $189,000 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Java]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Java, APIs, React, TypeScript]]></skills>
    <expirationdate>2026-07-04T10:35:39.379Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Platform Integrity Lead]]></title>
    <date>2026-05-04T20:34:13.277Z</date>
    <referencenumber>cmpgign1v02i8v2xqvhjf44o7</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/platform-integrity-lead-a5507a0c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[Sell what you love. For us and millions of users across the globe, that’s Spotify. Join the Sales team and you’ll build the relationships that help grow our business in existing markets and beyond. We don’t just sell creative solutions to our clients and partners, we help to shape them; using our expert knowledge of ad products, sales channels and the industry to impact the way the world experiences music and podcasts. 
We focus on building trust in Spotify’s advertising platform. This team sits at the center of Product, Engineering, Sales, and business teams, ensuring that our ads ecosystem runs smoothly and delivers a reliable experience for advertisers and listeners alike. As Platform Integrity Lead, you’ll play a key role in protecting revenue, strengthening client relationships, and improving how we respond to and learn from incidents across the Ads business.
What You'll Do
Own and evolve the cross-functional incident management process for Spotify’s Ads business, ensuring fast, coordinated, and effective resolution
Act as the central point of coordination across Ads R&amp;D, Sales, Advertiser Solutions, Business Operations, Finance, Legal, and Marketing
Partner with technical and operational teams to monitor incoming ad serving issues and identify those with meaningful business impact
Build and improve structured bug intake and ticketing workflows to increase clarity, speed, and accountability across the incident lifecycle
Identify trends and recurring issues, and partner with Ads R&amp;D to drive long-term solutions
Lead internal communication strategies during incidents, ensuring stakeholders have clear, timely, and accurate updates
Collaborate with cross-functional partners to support revenue teams in mitigating revenue loss and maintaining strong client experiences
Make informed escalation decisions based on incident severity and business impact, ensuring the right level of visibility
Deliver clear reporting on revenue impact and incident trends to Finance and leadership teams

Who You Are
You have 7+ years of experience in ad operations, product operations, sales systems, or a related role within a digital advertising environment
You bring 3+ years of experience working with programmatic advertising or technical ad systems
You understand ad serving, measurement, billing, and order management systems, and how issues in these areas affect revenue and customer trust
You have experience building and improving operational processes in cross-functional, fast-moving environments
You are comfortable navigating ambiguity and making decisions that balance technical constraints with business priorities
You communicate clearly and confidently, and can align stakeholders across different teams and levels
You use data to inform decisions and can translate complex information into clear actions
You have experience with incident management processes and tools such as Jira, CRM systems, or reporting platforms

Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the Eastern Standard time zone.

The United States base range for this position is  $91,395- $130,564, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Jira]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Jira]]></skills>
    <expirationdate>2026-07-03T20:34:13.277Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Delivery / CD]]></title>
    <date>2026-05-04T18:54:22.168Z</date>
    <referencenumber>cmpgih1ay036wv2xqmbi5yqhx</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-delivery-cd-60cf9bb2</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Role

The Engineering Acceleration Delivery / Continuous Deployment team builds and operates the systems that safely ship OpenAI’s infrastructure and product code to production.

We own the deployment platform, release pipelines, and rollout safety mechanisms that allow engineers across OpenAI to deploy changes rapidly while minimizing operational risk. Our mission is to make production deployments fast, safe, and increasingly autonomous.

This role sits at the intersection of developer productivity, distributed systems reliability, and large-scale infrastructure orchestration.

In This Role, You Will

Design and build continuous deployment infrastructure that safely rolls out changes across dozens of Kubernetes clusters and global regions.

Develop systems for progressive delivery, including canary releases, staged rollouts, and automated rollback.

Improve engineering velocity by reducing friction in the release pipeline and automating manual operational workflows.

Work with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale.

Implement and evolve deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns.

Build systems that automatically evaluate deployment health using metrics, logs, traces, and alerts to detect regressions and trigger safe rollbacks.

Build systems that support agent-assisted or autonomous deployment workflows using modern AI tooling.

Technologies commonly used in this environment include:

Kubernetes for large-scale container orchestration and runtime infrastructure

Python and FastAPI for internal services

Terraform for infrastructure as code

GitOps-based deployment workflows (e.g., ArgoCD, Flux, or similar systems)

Buildkite for CI orchestration

You may be a strong fit if you:

Have worked with Kubernetes-based deployment systems at scale

Have experience building or operating continuous deployment platforms

Are familiar with GitOps tooling such as ArgoCD or Flux

Are excited about building AI-assisted systems and agents that intelligently shepherd software changes from commit to safe production rollout.

Care deeply about safe production rollouts and minimizing blast radius

Enjoy building internal platforms that improve developer productivity across the organization

Compensation

$230K – $490K + Offers Equity

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Distributed Systems]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Distributed Systems, Kubernetes, Python, FastAPI, Terraform]]></skills>
    <expirationdate>2026-07-03T18:54:22.168Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Manager, Families]]></title>
    <date>2026-05-04T17:51:34.418Z</date>
    <referencenumber>cmpgih2jo03fev2xq6bdo9j67</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-manager-families-e37e5ae8</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team: 

Our team brings OpenAI’s most capable technology to the world through our products. We've released ChatGPT, GPT5.5, and Codex. We empower consumers and developers alike to use and access our state-of-the-art AI models, allowing them to do things that they’ve never been able to before.

Across all product lines, we ensure that these powerful tools are used responsibly. This is a key part of OpenAI’s path towards safely deploying broadly beneficial Artificial General Intelligence (AGI). Safety is more important to us than unfettered growth.

The Youth Well-Being team focuses on helping young people have safe, age-appropriate, and positive experiences with AI. The team builds features such as age prediction, parental controls, and access to crisis support resources when people need help. Their work brings together product, policy, safety, research, and operations to keep improving how ChatGPT supports teens and families.

About the Role: 

We’re looking for an experienced Product Manager to lead OpenAI’s Family product efforts. This role will shape how families, caregivers, and older adults benefit from AI across OpenAI’s products.

This is a high-impact role with the opportunity to improve daily life for millions of people. You’ll work closely with engineering, design, research, policy, legal, communications, finance, and operations teams.

This position is based in San Francisco, CA, with relocation assistance available.

In this role, you will:

Set the product strategy for Family experiences across OpenAI products.

Identify user needs and turn them into high-impact product opportunities, owning products end-to-end, from concept through launch and iteration.

Build experiences that balance usefulness, simplicity, trust, safety, and accessibility.

Define success metrics and use data and research to guide roadmap decisions.

Partner cross-functionally to execute quickly and effectively.

You might thrive in this role if you:

Have 7+ years of product management experience leading large-scale consumer or platform products.

Have experience building for parents, families, or in trust-sensitive products.

Have strong product judgment and can simplify complex problems.

Work effectively with technical teams and ship high-quality products.

Are analytical, user-focused, and an excellent cross-functional communicator.

Care deeply about using AI to improve everyday life.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, Codex, Product Management]]></skills>
    <expirationdate>2026-07-03T17:51:34.418Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Manager, Financial Engineering]]></title>
    <date>2026-05-04T16:56:31.623Z</date>
    <referencenumber>cmpgih2j503fav2xqgle8r4rw</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-manager-financial-engineering-ac1ad9bc</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team
Our team turns OpenAI’s latest model capabilities into polished, trusted products for consumers and developers. We build the end-to-end experiences including product surfaces, platform layers, and developer workflows that make cutting-edge AI accessible, useful, and dependable at scale.

OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products - pricing and packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner closely with Engineering, Data Science, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide.

We pair rapid innovation with a rigorous approach to responsible deployment. Safety and trust are built into how we design, ship, and learn from real-world usage, so these tools deliver meaningful value while aligning with OpenAI’s mission.

About the Role

We are seeking an experienced Product Manager to scale the product efforts and technical strategy within our Financial Engineering team. The ideal candidate has prior experience in billing, finance, and accounting, ideally also building solutions for commercial users of varying sizes from small scale to enterprise. This role requires close collaboration with our product, finance, operations, and engineering teams.

This position is based in San Francisco, CA. We utilize a hybrid work model with 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Develop a strategy and roadmap to efficiently scale the billing operations and customer experience behind OpenAI’s growing product portfolio

Identify and execute opportunities to improve the order-to-cash processing for OpenAI’s largest and most strategic customers

Build AI powered tooling for key partner teams such as Finance and User Operations to drive better decisions and business outcomes

Collaborate with other product teams to defining OpenAI’s evolving monetization strategies and the capabilities we need in our core billing infrastructure

Use data to better understand internal and external user needs and guide future product development

Collaborate with a wide range of stakeholders, including teams in product, finance, operations and engineering.

You might thrive in this role if you:

Have 6+ years of product management or related industry experience.

Obtained a bachelor's degree in Accounting, Finance, Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.

Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones.

Have world-class communication and collaboration skills in working with a wide variety of cross-functional stakeholders

Showcase strong leadership, organizational, and execution skills, along with proven communication abilities.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Flows]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Flows, Product Management]]></skills>
    <expirationdate>2026-07-03T16:56:31.623Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Policy, Cyber Policy Manager]]></title>
    <date>2026-05-04T16:39:45.010Z</date>
    <referencenumber>cmpgih2k803fiv2xqj1wdvltz</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-policy-cyber-policy-manager-a347533e</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Product Policy team develops, implements, enforces, and communicates the policies that govern use of OpenAI’s services, including ChatGPT, Codex, GPTs, and the OpenAI API. This cyber-focused role will help define how OpenAI enables legitimate cybersecurity work while reducing the risk that our products are misused for cyber abuse.

This role sits at the intersection of AI capability, cybersecurity practice, and abuse prevention: helping defenders use OpenAI’s tools effectively while setting clear boundaries against malicious cyber activity.

About the Role

As a Product Policy Manager specializing in Cyber, you will combine cyber and policy expertise to guide how OpenAI evaluates, launches, and governs capabilities relevant to cybersecurity. You will work closely with product, engineering, research, safety, security, legal, operations, and go-to-market teams to translate complex cyber risk into practical product policy, implementation standards, enforcement guidance, and launch decisions.

The role requires understanding both sides of the cyber equation: how defenders investigate, detect, triage, and respond to threats, and how malicious actors may attempt to misuse AI systems for vulnerability exploitation, social engineering, malware enablement, credential abuse, or other harmful activity. Strong candidates may bring depth in one or more cyber domains, such as attacker tradecraft, vulnerability discovery, malware analysis, phishing and credential abuse, identity and access risks, incident response, detection engineering, secure development, threat intelligence, abuse investigations, or security tooling — along with the ability to reason across adjacent areas. You do not need to have held a formal policy title, but you should have experience turning technical risk into durable rules, standards, processes, or decisions, and very strong communications skills.

As OpenAI continues to grow, this role will help align diverse teams and stakeholders while operating in a fast-moving, ambiguous environment.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Provide cyber policy advice to technical and product teams based on a deep understanding of model capabilities, product architecture, abuse pathways, defensive security use cases, and the practical needs of cybersecurity teams.

Evaluate cyber-relevant product launches and model capabilities, including how they may support legitimate security work and how they could be misused by malicious or irresponsible actors.

Translate cyber threat risk into clear product requirements, launch guidance, enforcement standards, user-facing policy, and internal implementation guidance.

Develop operationalizable standards, enforcement protocols, and escalation paths for cyber abuse scenarios, including vulnerability exploitation, credential abuse, social engineering, malware enablement, phishing, data exfiltration, and misuse of security automation.

Partner with safety, security, product, engineering, research, legal, operations, communications, and global affairs teams to make principled, timely decisions about cyber risk in high-ambiguity situations.

Help build scalable policy frameworks for dual-use cyber capabilities, including where to draw boundaries between beneficial security research, defensive operations, and harmful cyber activity.

You might thrive in this role if you:

Have 5+ years of experience, or equivalent depth, in one or more of the following areas: cybersecurity, security engineering, threat intelligence, incident response, abuse investigations, detection engineering, product policy, cyber policy, trust and safety, or a closely related field.

Bring strong technical fluency in one or more cyber domains, such as vulnerability management, malware analysis, threat intelligence, incident response, phishing and credential abuse, detection engineering, secure software development, cloud security, identity and access management, or security automation.

Understand the modern cyber threat environment, including how sophisticated and opportunistic actors operate, how defenders detect and respond, and where AI can create both meaningful defensive value and misuse risk.

Can evaluate dual-use cyber capabilities with nuance, distinguishing between legitimate security research, authorized defensive activity, risky automation, and malicious or abusive behavior.

Communicate clearly with product managers, engineers, researchers, executives, security practitioners, and policy stakeholders, and enjoy turning ambiguous technical risk into practical decisions, requirements, and guidance.

Are comfortable building new policy frameworks, processes, and decision criteria in ambiguous or fast-moving areas.

Use data, threat intelligence, user feedback, and operational signals to improve policy quality, measure effectiveness, and ide]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, Codex, Cloud]]></skills>
    <expirationdate>2026-07-03T16:39:45.010Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Accounting Lead]]></title>
    <date>2026-05-04T15:08:26.617Z</date>
    <referencenumber>cmpgih5hq03kyv2xqkm9aocop</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/accounting-lead-51b61bcc</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[North America]]></city>
    <country>ES</country>
    <description><![CDATA[At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.

Founded in 2019, Linear has become the platform of choice for more than 25,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America and Europe, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.

Linear is profitable, which means we've had the discipline to build a strong business and now we need the accounting infrastructure to match. As our first in-house Accounting Lead, you'll own the foundation: the close process, the controls, the audit readiness, and the policies that let us operate with precision as we scale. This is a builder role. You'll be as comfortable in a reconciliation spreadsheet as you are explaining what the numbers mean to leadership and over time, you'll grow and lead a small accounting team as the company scales.

Location &amp; work mode

Linear is a remote-first company. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.

What you'll do

Own the monthly, quarterly, and annual close: financial statements, reconciliations, journal entries, and flux analysis

Build our accounting infrastructure from scratch: chart of accounts, close cadence, internal controls, and accounting policies

Lead our annual audit and keep us audit-ready year-round

Manage tax compliance, payroll accounting, and entity-level filings

Partner with Finance, Legal, and People to keep financial operations aligned with how the business is actually running

Find and eliminate manual work: automate what can be automated, document what needs to be documented

Eventually hire and manage a small team of accountants while staying hands-on in the work yourself

What we’re looking for

8+ years of progressive accounting experience, including meaningful time at a high-growth SaaS company

Strong technical command of US GAAP, including SaaS revenue recognition (ASC 606) and equity-based compensation; CPA preferred

Experience owning a full-cycle close and managing external audits end-to-end

Comfortable building from scratch: processes, controls, and policies — without a playbook handed to you

Experience managing or mentoring accountants, or clear readiness to do so

Proficiency in ERP platforms; experience evaluating or implementing a new ERP is a strong plus

Sharp on the details and equally capable of communicating what the numbers mean to people who aren't accountants

Sound judgment on what to build first and what can wait — this role requires sequencing, not just execution

What we offer

We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:

Competitive salary and equity

Employee-friendly equity terms including early exercise in the US and extended exercise windows

Daily meal and coffee stipend on every workday

Paid co-working space or desk

Health coverage (based on country requirements)

5 weeks paid vacation, plus local statutory holidays

4 months paid parental leave

Paid month off after 4 years &amp; every 2 years thereafter

Regular team events and off-sites

Remote-first with no required commute

Learn how we think and work

A story about our mission: Read Me

Our hiring process: How we hire at Linear

How we work: Designing remote work at Linear

How Linear uses Linear: How our Customer Experience team works in Linear

A video series: Conversations on Quality

Building our teams: Why and how we do work trials at Linear

Our recent Series C Fundraise and Giving our team liquidity

Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Linear]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Linear, Workday, Notion]]></skills>
    <expirationdate>2026-07-03T15:08:26.617Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Machine Learning Engineer - Policy & Safety]]></title>
    <date>2026-05-04T07:58:49.656Z</date>
    <referencenumber>cmpgigndf02kqv2xq1nsjkoga</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-machine-learning-engineer-policy-safety-07f3d9d0</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

The Policy &amp; Safety team sits within Content Platform in the Experience Mission, building the systems that keep Spotify safe, compliant, and trusted by millions of users and creators. This team owns Spotify’s content moderation infrastructure — from detection models to policy enforcement systems and compliance data pipelines.

Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust &amp; Safety, Legal, and Public Affairs. They’re on the critical path for every new content type and social feature — including messaging, comments, and collaborative experiences — ensuring safety is built in from day one. With a strong focus on “safety by default,” the team is investing in large-scale rearchitecture and ML-driven systems to proactively protect users and empower safer interactions across the platform.

What You'll Do

Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale

Own and lead key technical initiatives across detection, classification, and policy evaluation systems

Develop and maintain ML models for content moderation, including multimodal and LLM-based systems

Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops

Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems

Collaborate closely with cross-functional partners in Trust &amp; Safety, Legal, and Public Affairs to align on policy and enforcement needs

Provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization

Represent technical decisions and trade-offs in stakeholder discussions and influence product direction

Who You Are

You have solid experience building and deploying machine learning systems in production environments at scale

You are experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch

You have a deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems

You know how to design systems that balance performance, reliability, and real-world impact in high-stakes domains

You care about building safe, responsible, and user-centric ML systems

You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders

You have experience leading technical projects and influencing direction within a team or product area

You have experience with distributed systems or backend technologies (e.g., Scala)

Where You'll Be

This role is based in New York

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $184,050 - $262,928 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Machine Learning, PyTorch, ML Systems, Distributed Systems, Scala]]></skills>
    <expirationdate>2026-07-03T07:58:49.656Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Machine Learning Engineer - Policy & Safety]]></title>
    <date>2026-05-04T07:54:01.768Z</date>
    <referencenumber>cmpgigndp02ksv2xqegiug1g1</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-machine-learning-engineer-policy-safety-676e2b3c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

The Policy &amp; Safety team sits within Content Platform in the Experience Mission, building the systems that keep Spotify safe, compliant, and trusted by millions of users and creators. This team owns Spotify’s content moderation infrastructure — from detection models to policy enforcement systems and compliance data pipelines.

Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust &amp; Safety, Legal, and Public Affairs. They’re on the critical path for every new content type and social feature — including messaging, comments, and collaborative experiences — ensuring safety is built in from day one. With a strong focus on “safety by default,” the team is investing in large-scale rearchitecture and ML-driven systems to proactively protect users and empower safer interactions across the platform.

What You'll Do

Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale

Own and lead key technical initiatives across detection, classification, and policy evaluation systems

Develop and maintain ML models for content moderation, including multimodal and LLM-based systems

Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops

Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems

Collaborate closely with cross-functional partners in Trust &amp; Safety, Legal, and Public Affairs to align on policy and enforcement needs

Provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization

Represent technical decisions and trade-offs in stakeholder discussions and influence product direction

Who You Are

You have solid experience building and deploying machine learning systems in production environments at scale

You are experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch

You have a deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems

You know how to design systems that balance performance, reliability, and real-world impact in high-stakes domains

You care about building safe, responsible, and user-centric ML systems

You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders

You have experience leading technical projects and influencing direction within a team or product area

You have experience with distributed systems or backend technologies (e.g., Scala)

Where You'll Be

This role is based in London or Stockholm

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Machine Learning, PyTorch, ML Systems, Distributed Systems, Scala]]></skills>
    <expirationdate>2026-07-03T07:54:01.768Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Strategic Finance Lead, Corporate Finance and Capital Strategy]]></title>
    <date>2026-05-04T05:48:36.252Z</date>
    <referencenumber>cmpgih2c103duv2xq1xh5ihh8</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/strategic-finance-lead-corporate-finance-and-capital-strategy-98b733e5</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Role

We’re looking for a senior Strategic Finance Lead to help shape and execute OpenAI’s financial strategy across some of the company’s most important long-term investments and growth priorities. This high-impact role sits at the intersection of corporate finance, capital markets, treasury, and cross-functional execution.

In this role, you will:

Shape financial strategy for major long-term investments, capital structure decisions, and broader strategic decision-making.

Build rigorous financial models and scalable frameworks to evaluate strategic initiatives, funding options, tradeoffs, and risk.

Structure and help execute complex strategic initiatives in partnership with cross-functional teams.

Translate ambiguous technical and business inputs into clear recommendations and decision-ready materials for executives, the board, and other senior stakeholders.

Lead high-priority cross-functional workstreams from concept through execution, bringing strong judgment, ownership, and communication in fast-moving situations.

Help build an AI-native finance organization by applying AI to improve workflows, decision-making, and execution across finance processes.

You might thrive in this role if you have:

12+ years of experience across strategic finance, corporate finance, capital markets, investment banking, infrastructure finance, or related fields.

A strong understanding of capital structure, financing strategy, debt markets, and large-scale investment evaluation.

Experience operating in high-growth, high-complexity environments with the ability to navigate ambiguity and move quickly.

Exceptional financial modeling, strategic thinking, and problem-solving capabilities.

Strong executive presence with the ability to communicate clearly across investors, executives, and technical stakeholders.

A high-agency operating style that combines strategic perspective with a willingness to build directly.

Excitement around using AI as a core operating advantage, with a mindset toward building AI-native workflows rather than traditional finance processes.

Excellent judgment, low ego, and a collaborative approach to solving hard problems.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-07-03T05:48:36.252Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Strategic Finance Lead, B2B Strategy & Planning]]></title>
    <date>2026-05-04T05:37:36.713Z</date>
    <referencenumber>cmpgih1tf03aev2xqgsr8okrv</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/strategic-finance-lead-b2b-strategy-planning-5c1aa90d</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Strategic Finance team provides financial insights and guidance to support OpenAI’s long-term goals and strategies. We partner across the business to allocate and deploy our resources for the highest-impact outcomes.  ￼

Within Strategic Finance, the B2B team focuses on the financial performance of our products and GTM functions, ensuring tight alignment between financial objectives and company strategy. We partner with leaders across Product, GTM, Research, Partnerships, and Operations to:

Drive operational planning, financial forecasting, and performance management.

Provide decision-quality insights on product and financial performance to inform strategic resource allocation.

Build the “0→1” financial foundations required to scale and accelerate growth.

About the Role

We are hiring a senior leader in B2B Strategic Finance to build and scale a new pillar within our finance organization. This is a highly visible role that reports into the Head of B2B Strategic Finance and supports some of our most critical executive stakeholders, including our COO, CFO, and CRO, among others on the B2B Leadership Team.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Drive B2B finance scale and rigor

Build and scale core financial infrastructure across the B2B business, including forecasting methodology, variance management, and performance narratives that drive accountability and decision-making velocity.

Lead consolidated planning across revenue, gross margin (including compute), and opex for annual budget, forecasts, regular business reviews, and long-range planning.

Establish durable management reporting: KPI definitions, dashboards, month-end/quarter-end deliverables, and exec-ready readouts.

Partner with Corporate FP&amp;A, Accounting, and Finance Systems/Data to evolve processes and controls toward public-company standards.

Be a strategic partner to B2B leadership

Lead forecasting and business reviews across usage, revenue, and gross margin, including scenario modeling tied to product &amp; engineering constraints and compute economics.

Holistically manage the financial performance and unit economics of our B2B products.

Partner with Compute and Engineering on margin optimization and quantifying trade-offs across   product experience, cost, and scalability.

Stand up emerging high-stakes, strategic initiatives

Support high-priority strategic projects from 0 →1, partnering closely with leadership and adjacent B2B finance teams to stand up the initial financial frameworks, decision support, and performance tracking.

Translate complex problems into clear executive narratives (trade-offs, risk/return, and strategic recommendations).

Transition emerging initiatives to long-term owners as they scale.

You might thrive in this role if you have:

12+ years of progressive experience in Strategic Finance, Product Finance, Corporate FP&amp;A, Corporate Development, Investment Banking/PE/VC, or Management Consulting—plus meaningful operating experience in a fast-scaling technology company.

Deep familiarity with B2B subscription and consumption / usage-based business models and the ability to reason fluently about unit economics and margin drivers (including compute-driven COGS).

Expert modeling and analytical skills (multi-scenario P&amp;L and cash flow modeling, sensitivity analysis, and strong financial judgment).

A strong ability to critically evaluate opportunities and risks in financials; attention to detail and accuracy in financial reporting, budgeting, and analysis.

Demonstrated ability to bring structure to ambiguity, lead senior stakeholders through trade-offs, and drive crisp decisions in high-uncertainty environments.

Exceptional communication and executive presence—strong at building Board/exec-ready narratives from complex, cross-functional inputs.

A “roll up your sleeves” mindset, high ownership, and deep curiosity about AI and how it will reshape enterprises, industries, and institutions.

Experience with SQL or a willingness to learn.

A passion for helping build world-class finance teams and driving business and financial outcomes.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic informat]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[SQL]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[SQL]]></skills>
    <expirationdate>2026-07-03T05:37:36.713Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Legal Program Lead]]></title>
    <date>2026-05-04T02:35:42.601Z</date>
    <referencenumber>cmpgigmxe02hcv2xqdi5lgsp4</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/legal-program-lead-ac50b958</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[Spotify’s Legal team supports a fast-moving, global business at the intersection of technology, media, and creativity. In this role, you’ll work closely within our Corporate Legal and Global Compliance teams to help manage our corporate governance and compliance programs, coordinate stock maintenance and SEC filings, and support the day-to-day legal and compliance work that helps Spotify operate responsibly as a public company. 
What You'll Do
Support Spotify’s corporate governance and compliance work by helping manage key processes, disclosures, filings, and day-to-day coordination across internal and external stakeholders.
Assist with public company compliance matters, including insider trading compliance program administration and SEC filings, such as Section 16 reports for insider transactions
Manage share-related matters by partnering closely with Spotify’s transfer agent, equity plan broker, and other internal and external stakeholders
Support corporate governance processes, including board and committee materials, questionnaires, and information requests
Provide project management support for compliance and governance matters, including overseeing incoming compliance matters and ensuring follow-through with stakeholders and assisting with trainings and other program-related activities
Track ESG-related legal and regulatory developments and keep stakeholders updated on applicable requirements
Support the administration of Spotify’s global sanctions compliance program, including screening processes, escalations, and coordination with cross-functional stakeholders
Assist in the development, rollout, and tracking of ethics &amp; compliance trainings, including maintaining training records and supporting ongoing program improvements
Help manage and maintain internal ethics &amp; compliance policies and procedures, including updates, communications, and governance processes

Who You Are
You have 3+ years of experience supporting public company securities and/or compliance matters in a law firm or in-house environment. Experience with Section 16 reporting is preferred.
You have a bachelor’s degree or equivalent practical experience.
You have clear verbal and written communication skills and strong organizational skills, with an exceptional attention to detail.
You have strong judgment and discretion when handling sensitive and confidential information.
You can manage multiple priorities and deadlines in a fast-paced, evolving environment.You take initiative, anticipate needs, and deliver creative solutions with proven problem-solving skills.
You work well as part of a team, both with legal and non-legal stakeholders, and have an absolute commitment to professionalism and collegiality.
You are comfortable working with tools like Google Workspace, Microsoft Office, and Adobe Acrobat, and can quickly learn new systems.
You have some familiarity with AI-powered tools and a willingness to leverage them to improve efficiency, streamline workflows, and support day-to-day legal and compliance operations

Where You'll Be
This role is based in New York.
We offer you the flexibility to work where you work best! There will be some in person meetings, but still flexibility to work from home. We ask that you come in 2-3 times per week.

The United States base range for this position is $95,592 to $136,560, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Project Management]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Project Management, Google Workspace]]></skills>
    <expirationdate>2026-07-03T02:35:42.601Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Legal Counsel - Licensing & Business Development]]></title>
    <date>2026-05-04T02:22:02.279Z</date>
    <referencenumber>cmpgigmw902h0v2xqbc27kzyc</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/legal-counsel-licensing-business-development-cbfd4f22</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[You’ll join Spotify’s Legal Licensing and Business Development team, supporting partnerships that bring Spotify to listeners around the world. This team works at the intersection of technology, media, and business, helping shape how Spotify is distributed across platforms, devices, and experiences. You’ll collaborate closely with business development, finance, and licensing teams to support innovative deals that expand Spotify’s global reach.
What You'll Do
Partner with Business Development teams to support partnerships that enable Spotify distribution across platforms, devices, and services
Draft, review, and negotiate a wide range of commercial agreements, including technology, AI, hardware, and distribution partnerships
Provide clear, practical legal guidance on complex deal structures, risks, and regulatory considerations
Collaborate with cross-functional partners across finance, accounting, and licensing to support agreement execution and implementation
Translate legal concepts into clear guidance that informs business strategy and decision-making
Help improve and scale contract templates, processes, and ways of working to support global growth
Support teams in navigating internal policies, approval processes, and evolving legal frameworks

Who You Are
You have a law degree from an accredited university and are qualified to practice law in the UK or Sweden
You have 3+ years of post-qualification experience in a law firm and/or in-house legal team
You are experienced in drafting and negotiating commercial agreements, particularly in technology, media, AI, or IP-focused environments
You are comfortable working across global teams and time zones, managing multiple stakeholders and priorities
You communicate complex legal concepts in a clear, accessible way for non-legal partners
You bring a practical, solution-oriented approach to problem-solving and decision-making
You have experience supporting business development or partnership-driven organizations
You are curious about emerging technologies and understand the legal considerations around AI and digital distribution
You collaborate effectively and take ownership of your work while contributing to a supportive team environment

Where You'll Be
This role is based in London or Stockholm.
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Approval Processes]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Approval Processes]]></skills>
    <expirationdate>2026-07-03T02:22:02.279Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Performance & Systems Engineer, Codex]]></title>
    <date>2026-05-01T23:47:41.046Z</date>
    <referencenumber>cmpgih2jf03fcv2xqhph5qpmk</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/performance-systems-engineer-codex-7e806500</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. Our mission is to push the frontier of code generation and agentic reasoning, and deploy these capabilities in real-world products such as ChatGPT and the API, as well as in next-generation tools specifically designed for agentic coding. We operate across research, engineering, product, and infrastructure—owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities.

About the Role

As a Performance &amp; Systems Engineer on the Codex team, you will be responsible for whole-system optimization across a complex, evolving stack. Codex spans LLM inference, cloud orchestration, agentic work management, and multiple product surfaces. Your job will be to identify and land high-leverage changes—across infrastructure, modeling, and product layers—that make Codex agents significantly faster and cheaper to serve.

We’re looking for generalists who thrive in ambiguity and love chasing performance bottlenecks to ground. This is a high-ownership role where your work will directly improve the experience of millions of users.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Hunt down and address inefficiencies across the Codex system stack, from agent behavior to LLM inference to container orchestration, and beyond.

Build tooling to measure, profile, and optimize system performance at scale.

Collaborate with researchers and engineers to land high-ROI changes that improve latency and cost.

You might thrive in this role if you:

Have experience operating across both ML systems and cloud infrastructure.

Enjoy diving into messy, ambiguous problems and emerging with clear wins.

Think holistically about performance, balancing speed, cost, and user experience.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Codex, ChatGPT, Cloud, ML Systems]]></skills>
    <expirationdate>2026-06-30T23:47:41.046Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Backend Engineer - Music]]></title>
    <date>2026-05-01T18:25:53.765Z</date>
    <referencenumber>cmpgigmec02dcv2xq2djulh0v</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/backend-engineer-music-a6459493</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[We are seeking a Backend Engineer to join our Artist-First AI Music lab. Our team designs and builds state-of-the-art generative products for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:

Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.
Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.
Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.
Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.

What You'll Do

Build backend systems that support generative AI usage at scale
Design and develop APIs that power AI creation flows, content consumption, and reporting
Work closely with Product and Design to bring new features to life
Improve system scalability, performance, and reliability
Contribute to a collaborative engineering culture through code reviews and knowledge sharing
Help evolve our architecture as we grow and scale

Who You Are

You have experience developing backend systems using Java
You know how to design APIs and work with service-based architectures
You write clean, maintainable, and well-tested code
You care about performance, scalability, and system reliability
You enjoy working collaboratively in cross-functional teams
You are curious, proactive, and motivated to learn and grow
You have experience contributing to production systems
You are interested in applying AI to improve systems and exploring practical use cases

Where You'll Be

This role is based in New York, NY
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
We ask that you come in 3 times per week

The United States base range for this position is $133,000 – $190,000 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Generative AI]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Generative AI, APIs, Flows, Java]]></skills>
    <expirationdate>2026-06-30T18:25:53.765Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Account Director, Quantitative Trading]]></title>
    <date>2026-05-01T17:07:17.636Z</date>
    <referencenumber>cmpgih2jy03fgv2xqatbt6rwz</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/account-director-quantitative-trading-c3d04fdc</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York City]]></city>
    <country>US</country>
    <description><![CDATA[About the team

OpenAI’s Go To Market team helps organizations understand, adopt, and deploy highly capable AI systems safely and effectively. We partner across Sales, Solutions, Product, Engineering, Research, Support, Marketing, and Partnerships to help customers turn frontier AI into durable business impact.

About the role

As an Account Director focused on  Quantitative Trading, you will own executive and technical relationships with leading buy-side investment firms, including some of the most sophisticated multi-manager, systematic, and data-intensive investment platforms in the world.

This is a highly technical enterprise sales role. You will work with CIOs, CTOs, Heads of AI, data leaders, platform engineering teams, portfolio managers, researchers, and compliance stakeholders to help firms deploy OpenAI across research, data analysis, coding, knowledge retrieval, model evaluation, internal AI platforms, and production workflows.

The ideal candidate can move fluidly between board-level value, front-office investment workflows, and deeply technical conversations about APIs, model routing, evals, retrieval, data security, observability, and responsible deployment in regulated environments.

This role will be  based in New York City or San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

In this role, you’ll:

Manage a focused portfolio of quantitative trading and alternative asset management accounts, developing long-term strategic account plans.

Lead complex, multi-stakeholder sales cycles across executive, investment, technology, data, AI, research, legal, security, and compliance teams.

Build trusted relationships with highly technical buyers and internal platform teams who evaluate, integrate, and govern AI across the firm.

Partner with Solutions, Product, Engineering, and Research to design pilots and scaled deployments with measurable business impact.

Help customers identify high-value AI use cases across investment research, data analysis, document intelligence, coding, market monitoring, workflow automation, and internal AI platform development.

Navigate regulated, security-sensitive environments with strong judgment around privacy, compliance, information barriers, and responsible AI deployment.

Own revenue, consumption, pipeline, and forecast performance for your book of business.

Track market structure, technology trends, and AI adoption patterns across quantitative trading accounts

, multi-manager platforms, systematic investors, and adjacent buy-side firms.

Partner cross-functionally with marketing, partnerships, product, and communications to build OpenAI’s quantitative trading go-to-market motion.

You might thrive in this role if you:

Have 14+ years of experience selling complex enterprise software, platform, API, cloud, data, AI, or infrastructure products.

Have 4+ years selling into financial services, ideally quantitative trading asccounts, asset managers, capital markets, or other technically sophisticated buy-side institutions.

Have a strong track record exceeding annual revenue targets of $2M+ in complex enterprise environments.

Are credible with both C-suite executives and deeply technical stakeholders, including engineering, data, AI/ML, research, and platform teams.

Understand how quantitative trading and investment firms use data, research, analytics, software, and internal platforms to create differentiated investment processes.

Can translate technical AI capabilities into practical business value for investment, research, engineering, and operational teams.

Have experience with API-first products, developer platforms, data infrastructure, AI/ML platforms, or similarly technical enterprise solutions.

Are comfortable navigating ambiguity, competitive accounts, long sales cycles, security reviews, and fast-moving customer priorities.

Are customer-centric, intellectually curious, and energized by working with some of the most technically demanding customers in financial services.

Are a builder who can help create a repeatable sales motion in a high-potential vertical that is still taking shape.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[APIs]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[APIs, Cloud]]></skills>
    <expirationdate>2026-06-30T17:07:17.636Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[IT Systems Engineer]]></title>
    <date>2026-05-01T16:44:42.464Z</date>
    <referencenumber>cmpgihj7l03ouv2xq62qg4hyv</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/it-systems-engineer-fa23aefc</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

We're hiring an IT Systems Engineer who thinks like a software engineer. You'll design, build, and maintain the identity, access, and automation infrastructure that powers every team at Anysphere. This isn't a help desk role, it's a hands-on engineering position where you'll own critical systems end-to-end, from identity lifecycle management to zero-touch device provisioning to building the automations that let a small team scale with the company.

You'll work closely with Security and Engineering to implement zero-trust architectures and defense in depth strategies that enable the business without slowing anyone down. A significant part of your work will involve designing automated workflows that eliminate manual processes, strengthen our security posture, and create a seamless employee experience. You'll also play a key role in scaling and integrating our core IT systems as we grow, including integrating acquired companies into our systems.

This role reports to the Head of IT and offers significant ownership. You'll shape how we scale our internal infrastructure and directly impact every employee's daily experience. We work in-person at our office in San Francisco.

 You might be a fit if…

You have 5+ years of experience building and managing secure IT systems in fast-paced, high-growth environments.

You have deep expertise in identity and access management , you've personally configured SAML, OAuth, and SCIM integrations, not just administered existing setups.

You're proficient with modern MDM platforms (Kandji, Jamf, or similar) and comfortable managing a mixed-platform fleet (macOS, Windows, Linux, ChromeOS).

You write code to solve problems. Python, Bash, or similar scripting is a core part of how you work, not an afterthought.

You have strong experience administering and securing enterprise SaaS platforms (Google Workspace, Okta, Slack, Zoom, etc.).

You're obsessively user-focused. You take pride in delivering a world-class IT experience and view internal teams as your customers.

You communicate clearly and directly, whether explaining a technical architecture to engineers or walking a non-technical colleague through a workflow.

You're not content with manual processes, you're always looking for ways to automate, improve, and eliminate repetitive work.

Strong candidates may also have…

Experience with Infrastructure as Code tools (Terraform, Ansible, Pulumi).

Familiarity with CI/CD pipelines and modern DevOps practices.

Background in cloud platforms (AWS or GCP) and network security fundamentals.

Experience leading IT workstreams for M&amp;A integrations (tenant consolidation, identity migration, MDM enrollment).

Exposure to compliance frameworks (SOC 2, ISO 27001) and security audit processes.

A track record of transforming traditional IT operations into engineering-driven organizations.

Sample projects include:

Design and implement automated onboarding/offboarding workflows that provision and deprovision access across dozens of SaaS applications via SCIM and API integrations.

Build self-service tooling that lets employees resolve common IT requests (access requests, group management, device enrollment) without filing a ticket.

Architect and execute the IT integration plan for an acquired company , Slack Enterprise Grid migration, Google Workspace tenant consolidation, Okta identity federation, and MDM enrollment.

Deploy and maintain zero-trust network access policies using tools like Tailscale or Cloudflare Access.

Develop monitoring and alerting for identity and access anomalies across the SaaS ecosystem.

Create and maintain a comprehensive IT knowledge base that powers AI-assisted employee support.

Lead IT systems integration and modernization efforts as we scale (identity, device management, and core SaaS platforms).]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[SAML]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[SAML, OAuth, SCIM, Linux, Python, Google Workspace, Okta, Slack, Terraform, Ansible, CI/CD, DevOps, Cloud, AWS, GCP, Cursor]]></skills>
    <expirationdate>2026-06-30T16:44:42.464Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Legal Counsel, Podcast Monetization]]></title>
    <date>2026-05-01T16:14:04.161Z</date>
    <referencenumber>cmpgigmx802hav2xqiluh18sr</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/legal-counsel-podcast-monetization-ba2f278d</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Los Angeles]]></city>
    <country>ES</country>
    <description><![CDATA[The Talk &amp; Advertising Platform Legal Group supports Spotify's podcast business unit. As a lawyer within the group, you will partner with and provide guidance to our podcast and creator teams and support the expansion of Spotify's podcast monetization business across various markets around the world.

Our work is cutting edge, revolutionary and always evolving, so it will be up to you to continuously assess and advise the teams on legal issues using a creative and pragmatic approach.
 
You will primarily partner with and provide legal guidance to the podcast business at Spotify. You will advise colleagues on our monetization programs with podcast creators.  You will work on a range of agreements, including those with podcast publishers, hosting platforms, advertising technology partners, and third-party vendors. You will also provide product guidance on the podcast monetization platforms in order to ensure compliance with regulatory requirements as Spotify's podcast business expands.
What You'll Do
Partner with our podcast and creator monetization teams to understand their priorities and help them achieve their objectives.
Support automated and programmatic monetization channel workstreams across Spotify's podcast platforms.
Manage drafting, review, and negotiation of license agreements and monetization program terms across a range of commercial arrangements with external partners, and collaborate with key internal stakeholders to bring those agreements to execution.
Synthesize regulatory issues and legal implications that may impact Spotify's evolving podcast monetization technology stack and provide compliance guidance to business partners and others within the legal team.
Provide effective and commercially focused product counseling in relation to new podcast monetization features, creator tools, and UX copy.
Work closely with other key stakeholders in the Finance, Product, and Engineering teams to provide holistic support to Spotify's podcast monetization business.

Who You Are

You are admitted to practice law in California or qualified to act as Registered In-House Counsel in California. You have at least 5+ years of post-qualification experience working in a law firm and/or in-house legal department. Existing in-house experience is preferable but not essential.
You have experience working in the podcast, digital audio, or broader media ecosystem — as external counsel advising creators, publishers, and technology platforms; and/or in the legal department of a large, scaled business with a focus on podcasters, media creators, or media monetization matters.
You have a solid understanding of the podcast landscape, including how podcast advertising, host-read sponsorships, programmatic audio, and creator monetization programs operate, as well as the license agreements and monetization structures that support them.
Strong working knowledge of and experience with product counseling, intellectual property, and legal issues relating to digital audio, podcast distribution, programmatic advertising, privacy, consumer protection, and media. Experience in a consumer-facing technology or media organization with a significant podcast or digital audio business is a plus.
You consistently deliver clear, concise, practical, and pragmatic advice, with a proven ability to make risk-based decisions and to develop innovative and business-focused solutions to commercial challenges and regulatory developments.
You are comfortable balancing a varied body of work, moving at pace, and operating in areas where there is no perfect answer and ambiguity is high. You have a demonstrated willingness to dig into the details of projects and work well as part of a team — both with other lawyers and with non-legal stakeholders.
You have excellent interpersonal skills with an absolute commitment to professionalism and collegiality.
Fluency in English is essential; other languages are a plus.

Where You'll Be

This role is based in Los Angeles, CA.
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 2-3 times per week. 

The United States base range for this position is $170,366 - $243,380 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-30T16:14:04.161Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Third Party Risk Manager, APAC]]></title>
    <date>2026-05-01T09:13:00.461Z</date>
    <referencenumber>cmpgih2hj03eyv2xqys3qujwx</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/third-party-risk-manager-apac-feaafd9f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[OpenAI is building a world-class supplier risk and third-party risk program to support our global growth across hardware, infrastructure, and critical partner ecosystems. We’re hiring a Manager Third Party Risk Management (TPRM) in Singapore to lead execution across Asia-Pacific, with a strong focus on electronics/device manufacturing supply chains and supplier compliance.

What you’ll doLead end-to-end TPRM execution across APAC, ensuring consistent and scalable risk assessment, onboarding, and monitoring of third parties.

Support audits, regulatory requirements, and internal policy adherence across third-party relationships.

Support supplier compliance initiatives aligned to leading industry standards (e.g., Responsible Business Alliance / RBA expectations), including labor, ethics, and management systems.

Partner closely with Procurement, Legal/Compliance, Security, Privacy, and business teams to embed risk controls into supplier onboarding, contracting, and ongoing monitoring.

Build and oversee supplier risk frameworks tailored to electronics and device manufacturing environments.

Drive supplier due diligence, including operational, regulatory, and compliance risk assessments.

Establish and track key risk indicators (KRIs), reporting, and governance mechanisms for regional leadership.

Identify and mitigate risks across critical suppliers, including geopolitical, operational, and compliance risks.

Continuously improve TPRM processes, tools, and controls to support scale and efficiency.

Support incident response for supplier-related issues (e.g., compliance findings, operational disruptions), ensuring fast and effective resolution.

What we’re looking for6+ years of experience in supplier risk, third-party risk management, supply chain risk, supplier compliance/auditing, or related fields.

Strong experience in complex electronics or device manufacturing ecosystems (contract manufacturing, component ecosystems, multi-tier supply chains).

Demonstrated ability to run onsite audits and drive remediation outcomes (not just policy).

Regional Experience: Experience working with Asia-based suppliers or operating in APAC markets.

Technical Knowledge: Strong understanding of privacy, cyber risk, data security, operational resilience, and financial/vendor risk principles.

Analytical Expertise: Skilled in analyzing risk data, identifying trends, and producing actionable reporting.

Strong written and verbal communication—able to translate complex risk into clear decision narratives.

Business-level Mandarin is required, as this role regularly manages vendor communications and documentation with vendors who conduct business primarily in Mandarin.

Nice to haveExperience with export controls/sanctions, forced labor risk programs, and supplier ownership/beneficial ownership diligence.

Experience conducting or supporting onsite factory or supplier audits

Exposure to hardware lifecycle risks (e.g., NPI, production ramp, supplier quality issues)

Experience implementing GRC/TPRM tooling (e.g., OneTrust, Archer, ServiceNow GRC) and automating workflows.

Familiarity with RBA programs and/or validated assessment approaches.

Location &amp; travelThis role is based in Singapore and will involve 30% to 40% travel within Asia to supplier sites.

OpenAI is an equal opportunity employer. We consider qualified applicants regardless of race, religion, gender identity, sexual orientation, disability, veteran status, or any other protected characteristic.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-30T09:13:00.461Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Deployed Product Manager, Codex]]></title>
    <date>2026-04-30T22:02:04.828Z</date>
    <referencenumber>cmpgih2iw03f8v2xqoi8qoas2</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/deployed-product-manager-codex-3d9d9a0c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the roleOpenAI is hiring a Deployed PM to help our customers get maximally deployed on our products. This person is the product counterpart to Deployment Engineers: someone who can spot product expansion opportunities inside an account, build trust with technical and executive stakeholders, drive cross-functional execution, and turn blockers into momentum. The role sits at the intersection of product, technical deployment, and customer strategy.

In this role, you willAct as the product lead inside strategic customer accounts, helping customers adopt and expand their use of OpenAI products.

Identify opportunities for deeper deployment, new integrations, and broader product usage across teams and workflows.

Build trusted relationships with technical stakeholders, engineering leaders, and executives, including representing product vision to C-level audiences.

Partner closely with Deployment Engineers and GTM teams to drive successful implementations and long-term account growth.

Translate customer needs and technical blockers into clear product feedback and execution paths for internal teams.

Work hands-on with integrations, MCPs, tooling, and lightweight technical workflows when needed to unblock an account.

Own lightweight PM work needed to support enterprise deployment, then hand off the right insights and opportunities to core product teams.

You might thrive in this role ifYou've operated in highly ambiguous environments and are comfortable being the connective tissue between customers, engineering, GTM, and product.

You are highly credible with technical audiences and can work effectively with CTOs, senior engineers, and developer experience teams.

You are also excellent with stakeholders: polished in presentations, strong in customer conversations, and trusted in executive settings.

You can understand a customer's goals, translate them into a deployment strategy, and drive follow-through across multiple teams.

You are builder-minded and willing to get hands-on when needed.

You likely have a background as a technical founder, product founder, technical PM, solutions or product lead, or in another role that combines technical depth with product judgment and customer-facing execution.

What we're looking forStrong technical fluency and comfort working directly with engineers.

Strong product instincts, especially around identifying customer needs and translating them into product opportunities.

Excellent stakeholder management and communication skills.

Ability to present product strategy and deployment vision clearly to senior customer audiences.

Comfort operating across strategy, execution, and hands-on problem solving.

Bias toward action, ownership, and unblocking.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and r]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex]]></skills>
    <expirationdate>2026-06-29T22:02:04.828Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Technical Threat Investigator, Threat Intel Engineering]]></title>
    <date>2026-04-30T21:06:49.961Z</date>
    <referencenumber>cmpgigyt702o6v2xq7t98usly</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/technical-threat-investigator-threat-intel-engineering-6d90c517</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.

The Threat Intelligence team protects OpenAI’s technology, people, research, and infrastructure by proactively identifying and disrupting adversaries who seek to compromise our systems or misuse our models. We investigate sophisticated threats, build tooling to scale and augment analysis, and deliver intelligence that shapes security strategy and equips leadership with timely, risk-aware insights. We combine technical depth, investigative rigor, and strong cross-functional partnerships to uncover threats and drive impact across OpenAI’s security and research organizations.

About the Role

As a Technical Threat Investigator at OpenAI, you will help protect the company from sophisticated adversaries targeting OpenAI and the broader ecosystem, as well as those attempting to misuse our models in support of cyber operations.

This is a deeply investigative role. You will independently conduct complex, end-to-end investigations into capable threat actors to understand their behavior, infrastructure, emerging techniques, and how AI is integrated into their workflows. You’ll use these insights to proactively identify malicious activity and drive detection, disruption, enforcement, and safety improvements across the company.

You’ll translate your investigative findings into durable solutions that scale impact. You’ll build and own lightweight tooling, automate where it matters, and create AI-assisted workflows to make investigations faster, more repeatable, and more effective over time.

In this role, you will:

Conduct deep, end-to-end investigations into sophisticated threat actors interacting with OpenAI’s models, products, and broader ecosystem.

Think like an adversary — model attacker behavior, anticipate misuse patterns, and proactively hunt for, identify, and disrupt malicious activity.

Leverage internal telemetry, OSINT, vendor data, and in-house safety systems to produce high-confidence findings on adversarial use of our models in cyber operations, platform abuse, and threats targeting OpenAI.

Translate investigative findings into concrete improvements across detection, enforcement, intel, and safety pipelines.

Build tooling, scripts, automations, and agentic workflows that scale investigative throughput and reduce manual effort.

Prototype solutions in ambiguous and emerging problem spaces, including new product surfaces, novel attacker behaviors, and areas where existing coverage may be limited.

Partner closely with teams across Security, Safety Systems, Product Policy, and Integrity to operationalize findings and drive meaningful outcomes.

Produce clear, high-signal written outputs and recommendations that inform decision-making across technical and executive stakeholders.

You might thrive in this role if you have:

Experience in threat intelligence, incident response, offensive security, or a closely related field.

Solid experience investigating sophisticated threat actors, including model misuse, platform abuse, or other adversarial activity in complex environments.

A strong understanding of adversary behavior, infrastructure, and tradecraft, and the ability to apply that understanding to proactive investigations.

Demonstrated ability to independently drive deep technical investigations from ambiguous signals through to clear, actionable findings.

Experience using AI to extend or accelerate investigative workflows.

Strong scripting ability and comfort building lightweight automation, investigative tooling, or workflows that improve scale and repeatability.

Strong ability to leverage telemetry from diverse systems and vendors to drive investigations, including directly querying, extracting, and stitching together data where needed.

Strong written and verbal communication skills, especially the ability to translate technical investigations into high-signal outputs for diverse stakeholders.

Comfort operating independently in ambiguous, fast-moving problem spaces with minimal oversight.

This is a remote role with close collaboration required across teams in the US and UK. While the role is remote, regular in-person engagement with our San Francisco (SF) headquarters will be expected. Relocation assistance is available for candidates who wish to relocate to SF.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-29T21:06:49.961Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Technical Deployment Lead, Life Sciences]]></title>
    <date>2026-04-30T20:48:28.755Z</date>
    <referencenumber>cmpgih2gu03euv2xq4nwtq8aj</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/technical-deployment-lead-life-sciences-be8a521b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

 About the Role

As a Technical Deployment Lead (TDL) for Life Sciences, you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.

You will focus on the Life Sciences vertical, partnering with pharmaceutical companies, clinical research organizations, and other data and services providers to deploy next-generation AI capabilities across their drug discovery, development, and operations. You will own delivery end-to-end: embedding with Life Sciences customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.

Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).

This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.

 This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

 In this role, you will:

Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.

Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.

Partner with Product and Research so platform components and research workstreams land in time to support deployment goals.

Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.

Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.

Shape how we engage Life Sciences customers

You’ll thrive in this role if you:

Bring 7+ years of customer‑facing technical delivery leadership.

Have expertise in Life Sciences

Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.

Excel in high ambiguity environments. Know how to simplify complex and dynamic work.

Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.

Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions.

Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs.

Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls.

You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution.

Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher).

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspec]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Project Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Project Management, Excel]]></skills>
    <expirationdate>2026-06-29T20:48:28.755Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Engineering Manager - Native Ads]]></title>
    <date>2026-04-30T18:28:26.596Z</date>
    <referencenumber>cmpgigna102k0v2xq9z6z5384</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-engineering-manager-native-ads-bef1b380</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[The Music Mission team owns Spotify’s end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale.

You’ll join the Native Ads product area within the Music Mission, where we build advertising experiences that feel native to the listening journey while supporting artists and creators at scale. This team sits at the intersection of Music, Advertising, and Personalization, working across missions to deliver impactful, data-driven solutions.

We operate in a highly collaborative environment with product, data science, and engineering partners, solving complex machine learning challenges that power ad experiences for millions of listeners around the world.

What You'll Do
Lead and support a team that includes engineering managers and senior engineers, helping leaders grow and scale their impact
Set clear technical and organizational direction across multiple teams, aligning with mission and company priorities
Drive delivery across complex, distributed systems spanning Music, Ads, and Personalization
Stay close to the technology. Contributing to architecture, system design, and critical technical decisions
Partner with product, data science, and design to shape strategy and long-term direction
Navigate ambiguity in machine learning systems, including debugging, experimentation, and incident response
Build strong cross-mission relationships and influence decisions across teams and disciplines
Identify risks early, remove organizational blockers, and ensure accountability at all levels
Foster a culture of ownership, technical excellence, and continuous learning

Who You Are

You have experience managing managers and scaling engineering organizations through multiple levels of leadership
You bring strong technical depth and are comfortable engaging in architecture, system design, and complex debugging
You have worked with machine learning or probabilistic systems and understand their real-world operational challenges
You make thoughtful, high-quality decisions and bring clarity in complex or ambiguous situations
You build alignment across teams and influence stakeholders at different levels of the organization
You communicate effectively and adapt your approach to different audiences and contexts
You partner closely with product and data leaders to shape strategy, not just execution
You create accountability across teams and address misalignment constructively
You are committed to building inclusive teams where diverse perspectives are valued

Where You'll Be

This role is based in New York
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $203,410–$290,586 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Machine Learning, Distributed Systems]]></skills>
    <expirationdate>2026-06-29T18:28:26.596Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[CLI Engineer]]></title>
    <date>2026-04-30T18:13:57.035Z</date>
    <referencenumber>cmpgih6es03muv2xq5wejyhca</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/cli-engineer-90b7146a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About SupabaseSupabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

About The RoleWe are looking for a Senior CLI Engineer to join our CLI Team and help build a world-class local development experience - while owning a significant share of the API and backend work that powers it.

This is a hands-on individual contributor role. Technically, expect roughly 80% backend / API work and 20% CLI work: most of your time will be on TypeScript server-side development, primarily with NestJS (API modules, controllers, services, integrations), with a steady commitment to cross-platform CLI quality, releases, and developer experience.

You will work closely with customers, product teams, and the open source community to deliver systems that are consistent, secure, and performant - across Windows, Linux, and macOS for the CLI, and through well-designed APIs for everything else.

This role is ideal for someone who thrives in async, fast-paced environments and wants depth in backend delivery without stepping away from CLI and DX as a core part of the job.

What You’ll OwnDesign, build, and operate backend APIs and services in TypeScript, using NestJS patterns (modules, providers, pipelines) where that is how we ship - prioritizing security, performance, and clear contracts for internal and external consumers.

Design and develop CLI tooling that is consistent, secure, and performant across Windows, Linux, and macOS, aligned with the same platform capabilities the backend exposes.

Collaborate with product and platform teams to define end-to-end behavior: from HTTP/API design through to how the CLI and local development stack surface those capabilities.

Implement unit, integration, and end-to-end tests across backend and CLI so reliability and maintainability stay high as the surface area grows.

Create documentation and help content for API consumers, CLI users, and contributing developers.

Participate in releases, versioning, and backwards compatibility for the components you own.

Monitor usage and feedback; work with customers and the open source community to improve both API/backend and CLI experiences.

What You’ll Bring5+ years of software development experience with a strong track record in backend systems and/or developer-facing tooling.

Strong TypeScript and professional experience shipping production API and server-side code; NestJS experience is strongly aligned with how the CLI Team builds.

Hands-on experience with command-line tools (building, maintaining, or owning CLIs), including cross-platform concerns: filesystem access, subprocess management, terminal UX, and platform-specific behavior.

Proficiency in one or more languages commonly used for CLI and backend work (for example TypeScript/Node, Rust, Python, Go, C++). For this role, depth in TypeScript is essential.

Experience building CLIs with strong user experience: intuitive command structure, clear output, and actionable error messaging.

Familiarity with package distribution and installation (for example npm, yarn, Homebrew, APT, Snap, Scoop, Chocolatey) as they relate to how users install and update tools.

Solid Git workflow and CI/CD experience for automated testing and deployment.

Nice to have:

Contributions to open-source CLI tools, libraries, or backend frameworks.

Experience with containerization and orchestration (for example Docker, Kubernetes).

Familiarity with database migration management, Postgres, and related drivers or protocols where they intersect platform or CLI workflows.

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Vector Search, TypeScript, Linux, APIs, HTTP, Rust, Python, CI/CD, Docker, Kubernetes]]></skills>
    <expirationdate>2026-06-29T18:13:57.035Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Hardware Operations Technical Program Manager]]></title>
    <date>2026-04-30T17:22:03.527Z</date>
    <referencenumber>cmpgih2hs03f0v2xqmopodlli</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/hardware-operations-technical-program-manager-a2b478a8</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Stargate team is responsible for building the physical infrastructure that powers OpenAI’s largest-scale AI systems. We design, deploy, and operate next-generation data center infrastructure across a rapidly expanding footprint, bringing together hardware, networking, facilities, supply chain, and deployment execution.

This work sits at the intersection of advanced AI hardware and real-world infrastructure delivery. Our team turns compute requirements into deployable, reliable, and scalable systems that support frontier AI workloads.

About the Role

We are seeking a Hardware Operations Technical Program Manager to drive execution across the lifecycle of AI infrastructure hardware programs.

In this role, you will own cross-functional program execution across hardware readiness, supplier coordination, deployment planning, rack-level integration, manufacturing operations, logistics, field deployment, and operational handoff. You will partner closely with hardware engineering, data center engineering, networking, supply chain, manufacturing, deployment, and operations teams to ensure critical infrastructure programs move from design intent to production readiness.

This role is ideal for someone who can operate at both the technical and programmatic level: understanding hardware systems, identifying operational blockers, driving accountability across teams, and creating scalable processes for high-volume infrastructure deployment.

Key Responsibilities

Drive end-to-end Hardware Operations readiness programs across AI infrastructure systems, including servers, racks, networking hardware, power and cooling interfaces, and related data center infrastructure.

Develop and operationalize scalable hardware operations processes, workflows, and support models spanning deployment, repair operations, diagnostics, break/fix, escalation management, and sustaining operations.

Lead cross-functional execution of Hardware Operations readiness initiatives, ensuring operational capabilities, tooling, documentation, staffing models, and workflows are established prior to production deployment and operational handoff.

Partner across Hardware Engineering, Manufacturing, Supply Chain, Data Center Operations, Network Operations, Deployment, Reliability Engineering, and external suppliers to ensure alignment on operational requirements, supportability, and readiness milestones.

Develop operational scorecards, reporting frameworks, and metric algorithms to measure hardware operational health, repair performance, deployment quality, readiness status, and execution efficiency.

Identify operational, technical, supplier, tooling, and process risks early; drive mitigation plans, cross-functional alignment, and executive-level communication.

Lead cross-functional issue resolution efforts during hardware deployment, validation, operational ramp, and sustaining operations, ensuring rapid containment, corrective action development, and long-term process improvement.

Create and mature operational governance models, including standardized readiness reviews, action tracking, escalation management, performance reviews, and operational business rhythms.

Ensure operational knowledge sharing and alignment across internal teams, external suppliers, and infrastructure partners to improve execution consistency, issue resolution efficiency, and operational maturity.

You Might Thrive in This Role If You

Have experience driving complex hardware or infrastructure programs from development through production and deployment.

Are comfortable operating across engineering, manufacturing, supply chain, deployment, and operations teams.

Can understand technical system dependencies without needing to be the deepest engineer in every domain.

Know how to create structure in ambiguous, fast-moving environments.

Are effective at driving accountability across teams and vendors without direct authority.

Can move between tactical execution details and executive-level communication.

Have strong judgment around when to escalate, when to unblock directly, and when to create a repeatable process.

Qualifications7+ years of experience in technical program management, hardware operations, manufacturing operations, infrastructure deployment, or related technical execution roles.

Experience supporting hardware systems at scale, ideally including servers, racks, networking hardware, data center infrastructure, or high-performance compute environments.

Strong understanding of hardware development and deployment lifecycle, including NPI, qualification, manufacturing ramp, logistics, installation, validation, and operational support.

Demonstrated ability to manage complex cross-functional schedules, dependencies, risks, and executive communications.

Strong technical fluency across hardware systems, rack integration, manufacturing readiness, and infrastructure deployment.

Proven ability to operate in ambiguous environments and create scalable]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Logistics]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Logistics, Cloud]]></skills>
    <expirationdate>2026-06-29T17:22:03.527Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Manager]]></title>
    <date>2026-04-30T15:56:41.066Z</date>
    <referencenumber>cmpgihjd703q0v2xqpkokgqa1</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-manager-b672f19d</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the RoleProduct at Cursor is not a traditional PM org. We have product-minded engineers building tools for developers. Every project is ambiguous. There is no roadmap committee. The role is to take an idea and turn it into something customers use every day.

That means you do what it takes. Customer discovery. Writing code. Onsite implementations. High-stakes demos. Blog posts. PMs here are technical builders. You should be able to build and deploy an app yourself, reason through architecture decisions with engineering, and pair with design on UX. Titles matter less than the quality of what ships.

There is a lot of work left to do and many of these problems are new. The agent era is changing what developers need from their tools faster than most product organizations can keep up with. We think that's an opportunity.

This role is based in SF or NY. We build in person.

Example projects include...Building the first version of a feature yourself—prototyping with AI coding tools, getting it in front of users, and iterating until it's ready to hand off or scale with engineering.

Defining feature strategy for capabilities that need to work at scale, across individual developers and enterprise teams. Scoping what to build, what to cut, and in what order.

Owning launch execution end-to-end with PMM: GTM checklists, rollout sequencing, feedback loops, and measuring what worked.

Partnering directly with customers, sales, field engineering, and TAMs to align what we build with what they need. Running demos when the stakes are high. Doing BD work when a partnership matters.

Prioritizing the 1,000 paper cuts—triaging, sequencing, and making sure the small things that erode trust actually get fixed.

Working with data science on instrumentation, metrics, and measuring success. Building the feedback loops that tell you whether what shipped is working.

Writing changelogs, shaping marketing, and telling the story of what we built clearly enough that developers understand it on first read.

You may be a fit ifYou use AI coding tools daily—not as a novelty, but as part of how you work. You use them to read code, prototype, and move faster.

You have been an engineer or have deep experience with developer tools. You can navigate a codebase without pulling engineers off their work.

You have worked on infrastructure, cloud, or platform products. We are less interested in a narrow consumer product background.

For enterprise-focused work: you have shipped enterprise developer products, you are comfortable with sales, and you are polished but gritty.

You are an executor. You default to shipping the high-leverage thing now, not spending months exploring what to build.

You can build and deploy an application yourself and reason through technical architecture with engineers.

You move fast and communicate clearly. You are comfortable owning decisions that directly affect the product millions of developers use.

ApplyingIf there appears to be a fit, we'll reach out to schedule 2-3 interviews. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cursor, Cloud]]></skills>
    <expirationdate>2026-06-29T15:56:41.066Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Manager, Agent Harness]]></title>
    <date>2026-04-30T14:44:02.464Z</date>
    <referencenumber>cmpgihjdg03q2v2xqsoe8oid1</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-manager-agent-harness-63859649</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the RoleThe Agent Harness is what makes Cursor's agents actually work. It determines how agents decompose tasks into subtasks, how they interact with the file system and terminal, how they handle failures and retries, and how developers observe and steer what's happening. When an agent gets stuck, loops, or hallucinates, the harness is why—and the harness is how you fix it.

As a Product Manager for the Agent Harness, you will own this framework. Agent quality is improving rapidly—we shipped Composer 2, our own frontier coding model, and are training agents through real-time RL on user data. Your job is to turn those research advances into product that developers can feel.

This is not a role where you write specs and hand them off. You'll be reading agent traces, analyzing failure modes, designing evaluation frameworks, and making judgment calls about what an agent should and shouldn't attempt. You'll work at the boundary between research and product, where the roadmap is shaped by empirical results as much as customer feedback.

Example projects include...Owning the agent planning and execution framework: how agents decompose tasks, decide what tools to use, and recover when a step fails. Balancing autonomy with predictability.

Designing how developers observe and steer agents: real-time progress, guardrails, the ability to redirect mid-task. The experience should build trust without requiring micromanagement.

Building evaluation and benchmarking systems: defining what "good" means for agent quality—task completion rate, error recovery, hallucination frequency—and building the harnesses to measure it. These measurements drive engineering and research priorities.

Analyzing agent traces at scale: identifying where agents get stuck, loop, hallucinate, or take unproductive paths, and turning those patterns into concrete improvements.

Defining the primitives for agent extensibility: how agents use tools, access codebase context, call external services via MCPs and plugins on the Cursor Marketplace, and how developers customize agent behavior through rules and constraints.

Improving the default Cursor agent experience (the “Auto” model setting): making smart model choices based on user needs, model capabilities, and cost appetite.

Shaping multi-agent coordination: how subagents share context and avoid conflicts when executing in parallel across files and systems. This matters more as developers spin up fleets of agents simultaneously.

You may be a fit ifYou have built or evaluated AI agents, LLM applications, or ML-powered developer tools.

You're deeply technical. You're comfortable reading code, analyzing traces, and reasoning about system behavior at a low level.

You have strong intuition for evaluation and measurement. You know how to define metrics that capture quality, not just activity.

You can move between the big picture and the details—from "what should agents be capable of in six months?" to "why did this agent fail on this specific task?"

You're comfortable in a research-adjacent environment where the roadmap is shaped by empirical results, not just customer requests.

You have experience with reinforcement learning, agent frameworks, or AI evaluation—either as a practitioner or working closely with researchers.

You thrive in ambiguous, fast-moving environments and enjoy making hard tradeoffs with incomplete information.

#LI-DNI]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cursor, Reinforcement Learning]]></skills>
    <expirationdate>2026-06-29T14:44:02.464Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Manager, Cloud Agents]]></title>
    <date>2026-04-30T14:41:42.310Z</date>
    <referencenumber>cmpgihjcy03pyv2xqkhp48ifh</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-manager-cloud-agents-b3e82cec</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the role

Cursor is entering the third era of AI software development. Developers no longer write most of their code—they direct fleets of agents that do. More than a third of the PRs we merge internally are created by agents running autonomously in cloud VMs.

As a Product Manager for Cloud Agents, you will own the product that makes this possible. Cloud agents run on their own virtual machines, take on tasks over hours, iterate and test independently, and return with something quickly reviewable: logs, video recordings, and live previews rather than diffs. Your job is to make this loop fast, trustworthy, and worth relying on for real work.

This means owning how agents are provisioned, orchestrated, and monitored. It means designing the experience that lets a developer hand off a task and move on to the next one. It means making the output legible enough that reviewing an agent's work takes minutes, not an hour of reconstructing what happened.

Example projects include...Designing the task handoff experience end-to-end: how a developer describes what they want, how much context the agent receives, how the system handles ambiguity, and how the developer moves on without worrying about it.

Owning the agent orchestration model: sandboxing, parallelism, retries, error recovery, and resource allocation. Cloud agents compete for compute—you'll decide how that works.

Building the artifact and review layer: agents return logs, screenshots, video recordings, and live previews. You'll define what artifacts agents produce, how they're surfaced, and how developers verify output without reconstructing each session from scratch.

Shaping the self-hosted and enterprise deployment model: some customers need agents running entirely inside their network. You'll work with security and solutions to design deployment models that meet those requirements without fragmenting the product.

Instrumenting success: task completion rate, time-to-value, cost-per-task, developer trust. Building the measurement layer so the team knows where to invest.

Defining how cloud and local agents hand off to each other: developers move sessions between cloud and local depending on what they need. You'll own the UX for that transition.

You may be a fit ifYou have shipped developer tools, infrastructure products, or AI-powered applications as a product manager.

You understand distributed systems well enough to have real conversations with engineers about orchestration, sandboxing, and reliability.

You have strong product intuition for developer experience. You know when something feels right and when it doesn't.

You are deeply technical. You don't need to write production code, but you can read a PR, reason about an architecture diagram, and form opinions about tradeoffs.

You are comfortable making decisions with incomplete information and iterating fast.

You communicate clearly—written and verbal—and can align a team around a direction without a 40-page PRD.

You use AI coding tools regularly and have strong opinions about what's working and what isn't.

#LI-DNI]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cloud, Cursor, Distributed Systems]]></skills>
    <expirationdate>2026-06-29T14:41:42.310Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Developer Experience Engineer]]></title>
    <date>2026-04-30T07:05:50.242Z</date>
    <referencenumber>cmpgih2ft03eov2xqf5dp6s4w</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/developer-experience-engineer-1bcf2373</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[India - Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

The Developer Experience team at OpenAI has a singular focus: empowering developers globally. Our mission is to provide every developer and startup on the planet with the most delightful and seamless experience to integrate AI into their applications and products. We ensure developers have the tools, resources, and support they need to unlock AI’s full potential.

We create inspiring demos, developer tools, sample applications, and technical content that show developers how to build with Codex and frontier models like GPT-5.5 and GPT-Image-2 to create powerful agents and AI-native applications.

We collaborate closely with product, engineering, research, and GTM teams to ensure the developer journey, from onboarding with Codex to first API call to production deployment, is seamless, effective, and delightful.

This role is based in Bangalore, India, with travel across APAC up to ~30% of the time. 

About the Role

As a Developer Experience Engineer, you will create compelling technical content, developer tools, and sample applications designed to inspire developers and enable them to succeed with Codex and OpenAI’s APIs and products for developers.

You will engage with developers and technical founders, demonstrating best practices and building innovative applications powered by frontier models, multimodal capabilities, and tools like Codex.

We’re looking for people who combine strong technical skills, creativity, and a passion for engaging with and empowering developers.

In this role, you will:

Develop demos and sample applications that showcase best practices for building with Codex, frontier models, multimodal capabilities, and agents.

Create high-quality technical content, including tutorials, blog posts, videos, and code samples, to educate and inspire the developer community about our models, APIs, and Codex.

Actively engage with and foster a vibrant India and global developer ecosystem around OpenAI's platform and products.

Represent OpenAI at developer events and online, serving as a knowledgeable and approachable advocate for developers.

Gather and synthesize developer feedback to inform and improve our product roadmap.

Collaborate cross-functionally with product, engineering, and marketing teams to drive adoption and success across OpenAI's developer products, including Codex and our APIs.

Contribute directly to improving and refining OpenAI's developer products, interfaces, and surfaces.

Own challenges end-to-end, proactively closing gaps and developing new skills to solve complex problems.

Travel across APAC up to ~30% of the time to meet developers, support events, and build local communities.

You might thrive in this role if you:

Are passionate about crafting exceptional developer experiences and creating inspirational technical content and projects.

Bring a robust full-stack engineering background with demonstrated experience building innovative applications using AI and large language models (LLMs).

Have strong user empathy and care deeply about delivering experiences developers truly appreciate.

Have a proven track record of successfully creating engaging technical content, compelling demos, or innovative developer tooling that accelerates technology adoption.

Find joy in coding, continuously shipping high-quality, impactful software.

Excel in dynamic environments characterized by rapidly evolving priorities, ambiguity, and competing deadlines.

Are an exceptional collaborator who thrives working cross-functionally and enjoys partnering with diverse teams.

Maintain a genuine commitment to AI ethics and safety, strongly aligning with OpenAI's responsible AI development principles.

Stay deeply current on OpenAI's latest developer products and offerings, including Codex, APIs, and frontier models, and translate that fluency into useful demos, content, and developer guidance.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, APIs, LLMs, Excel]]></skills>
    <expirationdate>2026-06-29T07:05:50.242Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Legal Counsel, Music Publishing]]></title>
    <date>2026-04-30T04:55:31.698Z</date>
    <referencenumber>cmpgigmx302h8v2xqbyl5un81</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/legal-counsel-music-publishing-0e972fa8</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[We are seeking an experienced Legal Counsel with strong expertise in music publishing and copyright licensing to join Spotify’s Legal Licensing team. In this role, you’ll partner closely with Business Affairs, Finance, and Product teams to structure, negotiate, and draft complex licensing agreements with CMOs and music publishers. You’ll play a key role in shaping the legal frameworks that govern how musical works are used across Spotify’s service in APAC, helping enable innovation while supporting rights holders and creators.
What You'll Do 
Provide clear, practical legal advice on music publishing, copyright, and licensing matters across APAC markets
Structure, draft, and negotiate agreements with music publishers and collective management organizations (CMOs)
Partner closely with Business Affairs and cross-functional teams to support commercial negotiations and strategic initiatives
Advise on legal implications of new product features, launches, and business models involving musical works
Help ensure compliance with contractual obligations, copyright laws, and local regulatory frameworks
Translate complex legal concepts into clear, actionable guidance for non-legal stakeholders
Contribute to scalable legal frameworks that support Spotify’s continued growth in the region

Who You Are
You have a minimum of 6+ years of experience in a law firm and/or in-house legal role with exposure to music publishing or copyright law
You are experienced in negotiating licensing agreements involving digital services, publishers, and CMOs
You have a strong understanding of the commercial dynamics of the music industry and digital platforms
You are comfortable working across multiple jurisdictions, ideally with experience in APAC markets
You communicate clearly and know how to simplify complex legal topics for a range of audiences
You can manage multiple priorities and operate independently in a fast-paced environment
You care about supporting creators and rights holders in an evolving digital ecosystem
You bring a collaborative, inclusive mindset and align with Spotify’s values

Where You'll be
This role is based in Singapore or Sydney
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-29T04:55:31.698Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Head of Compute Capital Markets]]></title>
    <date>2026-04-30T01:21:18.024Z</date>
    <referencenumber>cmpgih2gf03esv2xq9w8129gt</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/head-of-compute-capital-markets-73e42608</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Role

As the Compute Capital Markets Leader focused on infrastructure, you will help shape and drive the strategic investment decisions behind OpenAI’s compute infrastructure. This is a highly cross-functional role, partnering closely with engineering, research, finance, and external partners to secure the infrastructure that powers our mission.

Compute is the engine of AI progress. Access to world-class infrastructure enables the best researchers to build the best models, which in turn deliver increasingly powerful intelligence to people and businesses around the world.

Capital Strategy &amp; Financing

Translate compute demand, GPU procurement, data center development, and power infrastructure into clear, investable frameworks for lenders, investors, and strategic partners

Build durable financing architecture for hyperscale AI infrastructure—not just individual transactions, but repeatable long-term strategic advantage

Partner across Finance, Treasury, and Capital Markets to optimize capital structure, expand financing capacity, and reduce cost of capital

Develop innovative financing structures across debt, structured capital, partnerships, and alternative financing vehicles

Investment Planning &amp; Decision SupportBuild and maintain rigorous financial and investment models for highly structured infrastructure projects

Support compute strategy, capacity expansion, supply agreements, and capital allocation decisions across infrastructure investments

Develop frameworks for return on capital, deployment speed, risk, scalability, and long-term platform economics

Evaluate partnership opportunities that improve capital efficiency, accelerate deployment timelines, or create strategic infrastructure advantage

 Capital Markets &amp; External EngagementEngage banks, institutional investors, infrastructure funds, and strategic capital providers to support financing execution

Develop investor materials, narratives, and data frameworks that translate technical infrastructure needs into capital markets language

Support negotiations with capital providers and infrastructure partners to secure optimal long-term outcomes

Synthesize complex financing decisions into clear recommendations for leadership and executive stakeholders

 Cross-Functional Leadership &amp; AI-Native ExecutionServe as the bridge between Compute, Finance, Treasury, Legal, IR, and leadership teams to align infrastructure strategy with capital strategy

Translate complex technical infrastructure requirements into actionable financial strategy and executive decision support

Bring an AI-native builder mindset by using OpenAI’s own products to improve workflows, forecasting, treasury operations, and financing execution

Build scalable internal tools and operating models—not just traditional finance processes, but AI-native ways of working

Experience

12+ years of experience across infrastructure investing, private / growth equity, private credit, investment banking, or restructuring

Bachelor’s degree or equivalent practical experience.  MBA/CFA helpful but not required

Experience with project finance, capital project and infrastructure financial analysis, large-scale investment projects

Demonstrated exceptionally strong analytical, financial modeling, and written and oral communication skills

Working knowledge of infrastructure investing is strongly preferred

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, los]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-29T01:21:18.024Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Technical Deployment Lead - Singapore]]></title>
    <date>2026-04-30T01:04:03.585Z</date>
    <referencenumber>cmpgih2h603ewv2xq44a4lw5e</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/technical-deployment-lead-singapore-67bf348f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

 About the Role

This is a founding role. As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.

This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.

Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).

This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.

 This role is based in Singapore. We use a hybrid model of 3 days in office and offer relocation assistance. Travel up to 25-50% is required.

 In this role, you will:

Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.

Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.

Partner with Product and Research so platform components and research workstreams land in time to support deployment goals.

Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.

Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.

You’ll thrive in this role if you:

Bring 7+ years of customer‑facing technical delivery leadership.

Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.

Excel in high ambiguity environments. Know how to simplify complex and dynamic work.

Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.

Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions.

Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs.

Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls.

You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution.

Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher).

Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Project Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Project Management, Excel]]></skills>
    <expirationdate>2026-06-29T01:04:03.585Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Post-Training Research]]></title>
    <date>2026-04-29T22:34:31.350Z</date>
    <referencenumber>cmpgigzar02ruv2xqwji0hdhi</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-post-training-research-f5c1b498</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Post-Training is responsible for training the models to be deployed into ChatGPT, the API, and future products. The team partners closely with research and product teams across the company, and conducts research as a final step to prepare for real world deployment to millions of users, ensuring that our models are safe, efficient, and reliable.

About the Role

We are looking for a seasoned engineer who can help us with a variety of engineering challenges. Some example projects in this role:

Rapidly prototype and develop internal products or tools used by researchers, such as visualization for our evaluation of models.

Refactor a large code base for cleaner module designs.

Redesign experiment configuration and evaluation systems.

Ideal candidates

Navigate large code bases independently and quickly

Can debug through complex systems

Can navigate high energy environments with fast changing priorities

Are comfortable being scrappy and working independently at fast speeds

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Rapidly prototype and build tooling or visualization for researchers.

Collaborate with research teams.

Design, implement, test, and debug code across our stack.

You might thrive in this role if you:

Strong background in writing maintainable, testable, clean code.

Enjoyment of code quality, refactoring, and building robust internal codebases.

Are a T-shaped engineer, with a broad range of experiences, but also an expert in one area. We are not terribly opinionated on a particular area, but examples could be expert level familiarity with the Python language, or expert experience building tools, or exceptional debugger.

Fast learner; you will need to understand how post training works on a high level and pick up different aspects of research needs.

Have experience building products that end users interface with, or building internal tools.

Have experience shipping things quickly with competing priorities or deadlines.

Proficiency with Python

Are a team player, willing to do a variety of tasks that move the team forward.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[ChatGPT, Python]]></skills>
    <expirationdate>2026-06-28T22:34:31.350Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Productivity - Model Performance]]></title>
    <date>2026-04-29T20:36:15.860Z</date>
    <referencenumber>cmpgih2g503eqv2xqe90glkjo</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-productivity-model-performance-e659562a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamWe’re hiring software engineers to make OpenAI’s Model Performance teams more productive. These teams work on the systems, tooling, and infrastructure that help improve model performance across OpenAI’s training and inference workloads at frontier scale.

About the RoleWe’re looking for an autonomous, high-ownership developer productivity engineer who cares deeply about helping other engineers move faster, safer, and with more confidence.

This role will sit within OpenAI’s Model Performance organization, contributing to developer infrastructure, CI systems, testing workflows, tooling, and broader performance infrastructure efforts. There is also a strong opportunity to contribute to the Triton project and help improve the systems that support performance-critical engineering work across OpenAI.

In this role you will:

Improve development workflows for engineers working on model performance infrastructure

Design and improve CI/CD, release, validation, and testing pipelines

Build and maintain tools that improve reliability, iteration speed, and engineering confidence

Partner closely with engineers to identify friction in testing, debugging, deployment, and development workflows

Contribute to infrastructure efforts that support performance-critical training and inference systems

Help improve developer experience across Python-heavy codebases and performance-oriented infrastructure

Work in a high-context, ambiguous environment where ownership and good judgment matter

You might thrive in this role if:

You are motivated by enabling the people around you and helping engineers do their best work

You have strong experience with CI/CD, developer infrastructure, testing systems, tooling, or build/release workflows

You are highly collaborative, empathetic, and comfortable partnering deeply with technical teams

You are strong in Python and enjoy building reliable, scalable developer tools and infrastructure

You have experience improving large-scale engineering workflows, especially around CI reliability, test infrastructure, and debugging velocity

You are self-directed and comfortable operating with ambiguity

You do not need direct inference or model performance experience, but you are excited to learn the domain and make the team meaningfully more effective

Experience in the PyTorch ecosystem is highly relevant

Experience with C++ or Rust is a nice-to-have, but not required

When you see repeated friction — slow tests, flaky CI, brittle release processes, painful debugging, unclear validation — your instinct is to fix the underlying system

You are pragmatic and know how to balance high standards with forward progress

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global App]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[CI/CD]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[CI/CD, Python, PyTorch, Rust]]></skills>
    <expirationdate>2026-06-28T20:36:15.860Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Program Manager, M&A Recruiting | People]]></title>
    <date>2026-04-29T19:55:48.942Z</date>
    <referencenumber>cmpgih0mt032mv2xq6dz7rina</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/program-manager-m-a-recruiting-people-afe0a853</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Strategic Initiatives team sits within OpenAI’s Recruiting org and focuses on some of the most dynamic, people-driven areas of the company. We lead efforts across Executive Recruiting, Mergers &amp; Acquisitions, Talent Intelligence, High Impact Talent, and Special Projects.

About the Role
As a Mergers &amp; Acquisitions Program Manager within Recruiting, you’ll be a key partner in managing people XFN from diligence through employee onboarding on M&amp;A deals. This role demands exceptional judgment, speed, and absolute discretion. You’ll operate at the center of some of OpenAI’s most impactful decisions - shaping the future of the company by bringing in extraordinary, mission-aligned talent.

We’re looking for someone who thrives in ambiguity, moves seamlessly between strategic thinking and execution, and is energized by complexity, challenge, and pace.

This role is based in our San Francisco office and we aren’t considering remote applications at this time. We use a hybrid work model of 3 days in the office with optional work from home on Thursdays and Fridays. We also offer relocation assistance to new employees.

Your Responsibilities

Co-design, lead, and scale the M&amp;A People XFN workstream program, driving end-to-end management of timeline, candidate experience, and key touchpoints that enable smooth deal execution and set the stage for positive onboarding and integration.

Build and uplevel playbooks, processes, and communications to support increasing deal volume and complexity, creatively solving for new challenges while ensuring clarity, alignment, and efficiency across cross-functional stakeholders (ex: Recruiting Operations, Comms, Events, etc.)

Deliver a high-impact candidate and acquired team experience, including producing events such as Town Halls, onboarding customizations, and cultural moments that reflect OpenAI’s mission.

Partner closely with senior leaders, founders, and acquired teams, demonstrating executive presence and the ability to navigate sensitive situations and competing priorities.

Lead post-mortem retrospectives for People XFN both at a deal and program level to build repeatable playbooks/process improvement for future deals.

Liaise with Recruiting Operations and cross-functional partners to build and scale efficient M&amp;A recruiting processes and tools. This may include initiatives related to headcount tracking and allocation, offer creation and issuance, confidentiality workflows, etc.

Flex into other high-priority areas of Strategic Initiatives as needed.

We're Seeking

6+ years of relevant industry experience, including at least 4 years leading program management efforts within Mergers &amp; Acquisitions or driving complex, cross-functional initiatives within specialized technical environments.

Strong project management skills, including leading initiatives from project scoping to execution phases and the ability to drive alignment across stakeholders, timelines, and tools.

Strong analytical mindset, leveraging data to evaluate program health, identify risks early, and guide clear, informed decision-making.

High ownership mindset with intellectual curiosity and enthusiasm for technology; thrives in complex, continuously challenging contexts.

Proven success operating with discretion and high judgment on sensitive or high-profile hires.

The ability to zoom out strategically and operate at high altitude, while maintaining precision in execution and attention to detail.

Excellent written and verbal communication skills, with the ability to tailor messaging across diverse stakeholders.

Nice to Have

Familiarity with technical hiring, especially in research or AI domains.

Background in recruiting, education program design, or talent development.

Experience supporting or building community-based programs.

Project Management certification (e.g., PMP or equivalent).

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment cons]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Project Management]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Project Management]]></skills>
    <expirationdate>2026-06-28T19:55:48.942Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Principal Product Designer]]></title>
    <date>2026-04-29T18:16:36.164Z</date>
    <referencenumber>cmpgih5ie03l4v2xquw6x9uar</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/principal-product-designer-5364ff7f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Europe]]></city>
    <country>ES</country>
    <description><![CDATA[At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. 

Founded in 2019, Linear has become the platform of choice for more than 25,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America and Europe, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.

Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices.

For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end.

Location &amp; work mode

Linear is a remote-first company. This role is open to candidates based in North America and Europe. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.

What you'll do

Pair closely with engineering and product to initiate and complete roadmap projects, no hand-offs

Spot opportunities to redesign or refine key screens and flows, as well as smaller quality issues and “paper cuts” as you use Linear

Create mockups, prototypes, and high-fidelity visuals to communicate ideas and describe their execution

Guide and inspire fellow designers through collaborative critique of work-in-progress

Use and improve our lightweight design system components

Help with hiring new teammates that can elevate our team and product

What we’re looking for

7+ years experience designing software

Courage to ask questions, experiment, and advocate for what you feel is right

Humility to accept feedback, adapt your thinking, and iterate toward the best solution

Experience with prototyping in Figma (and beyond with tools like AI, HTML/CSS, Origami)

Ability to distill problems and feedback, then design clear, focused solutions

Effective written and verbal communication skills — much of our work is async

What we offer

We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:

Competitive salary and equity

Employee-friendly equity terms including early exercise in the US and extended exercise windows

Daily meal and coffee stipend on every workday

Paid co-working space or desk

Health coverage (based on country requirements)

5 weeks paid vacation, plus local statutory holidays

4 months paid parental leave

Paid month off after 4 years &amp; every 2 years thereafter

Regular team events and off-sites

Remote-first with no required commute

Learn how we think and work

How we hire at Linear Linear blog post

Part I and Part II of how we redesigned the Linear UI

Read me a story about our mission

Why and how we do work trials Linear blog post

How we structure our product teams talk by our Head of Product, Nan Yu, at Config 2024

Crafting quality that endures Config keynote by our Co-founder &amp; CEO, Karri Saarinen

Building for quality: Our Investment in Linear Accel Series B blog post

Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Linear]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Linear, Flows, Figma, HTML, Workday]]></skills>
    <expirationdate>2026-06-28T18:16:36.164Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Counsel, Sanctions and Trade Compliance]]></title>
    <date>2026-04-29T17:42:08.233Z</date>
    <referencenumber>cmpgih1vk03asv2xqax9uuv5t</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-counsel-sanctions-and-trade-compliance-3965aea1</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work in the legal and compliance field, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax law, regulatory, and litigation.

About the Role

As a member of our Security Legal team, you will be responsible for  managing and evolving OpenAI’s sanctions compliance program, from developing an overall compliance strategy, mapping out screening architecture and workflow designs, and working cross functionally with colleagues on monitoring, metrics, and continuous improvement.  You will manage sanctions compliance policy and strategy for one of the most closely watched and globally impactful technology platforms in the world, and have real ownership and the chance to develop systems that scale globally as the company and our technology continues to evolve. You’ll also collaborate on adjacent trade compliance and security issues.

This role can be hybrid or remote and based in San Francisco, Washington, D.C., New York, or Seattle. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role you will:

Advise cross-functional teams on compliance and legal requirements applicable to OpenAI’s products and services under U.S. and international sanctions regimes.

Develop sanctions compliance strategies and processes at a global scale for a frontier AI company operating across jurisdictions and products.

Partner closely with cross-functional teams across Finance, Integrity, GRC, and Engineering to implement sanctions screening and controls that are deeply embedded into business workflows.

Own compliance documentation and reporting, including policies, standards, dashboards, metrics, and escalation frameworks to enable rapid monitoring, assessment, and improvement of compliance processes

Work with cross-functional teams to deeply understand and integrate compliance systems and tools, ensuring compliance checks are seamless, reliable, and adaptable as OpenAI evolves.

Lead ongoing reviews and risk assessments to ensure the continued effectiveness of our compliance controls and processes.

Manage and coordinate vendors and other third parties who support OpenAI’s compliance operations.

Assist in the development of trade compliance training materials for our cross-functional partners and business teams.

Explore and deploy AI tools to enhance and streamline OpenAI’s trade compliance efforts.

You might thrive in this role if you:

Have 10+ years of experience in the trade compliance field, including developing and implementing trade compliance programs at a large, technology-focused company.

Hold a J.D. from an accredited law school and maintain an active license to practice law, in good standing, in at least one U.S. jurisdiction.

Bring a sophisticated understanding of how US and international sanctions laws apply to multinational US companies.

Have successfully embedded comprehensive compliance programs and incorporated compliance processes into complex business workflows without slowing innovation.

Enjoy learning new systems and becoming the go-to expert in the systems and technical tools required for your job.

Are highly skilled at program management, including organizing complex systems, tasks, processes, and documentation.

Communicate in a way that builds trust with cross-functional teams, from engineers to business leaders.

Have a strong sense of ownership, are inquisitive and enthusiastic about technology, enjoy being continually challenged, and can demonstrate sound judgment in ambiguous situations.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angele]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-28T17:42:08.233Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Machine Learning Engineer, Personalization, Music Understanding]]></title>
    <date>2026-04-29T15:21:11.249Z</date>
    <referencenumber>cmpgigne902kwv2xqhdtgu63k</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-machine-learning-engineer-personalization-music-understanding-0cbaba4a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

You’ll join a team working at the intersection of machine learning, music understanding, and user experience. We focus on generating music sessions powering experiences like systems that power conversational playlist generation to give users more adaptive and intuitive control over what they listen to.

This team collaborates closely with product, design, user research, and data science to build personalized, high-impact features used by hundreds of millions of listeners worldwide.

What You'll Do

Design, build, evaluate, and ship LLM-based solutions that give users more adaptive control over their listening experience
Work on prompted playlist experiences with a focus on music fulfillment and session generation
Collaborate with cross-functional partners across user research, design, data science, product, and engineering
Prototype new ML approaches and bring them into production at global scale
Build and improve systems that connect artists and fans in personalized and meaningful ways
Contribute to the development of scalable ML systems serving hundreds of millions of users
Promote best practices in ML system design, testing, evaluation, and deployment across the organization
Actively contribute to a strong community of machine learning practitioners at Spotify

Who You Are

You are experienced in machine learning and enjoy solving complex real-world problems in collaborative environments
You have a strong background in machine learning, natural language processing, and generative AI
You are comfortable applying theory to build real-world, production-ready applications
You have hands-on experience building and deploying end-to-end ML systems at scale
You are familiar with LLM-based systems and techniques for improving them using human feedback such as reinforcement fine-tuning, DPO, or similar approaches
You have experience designing modular ML architectures and writing technical specifications in partnership with product teams
You are experienced with large-scale distributed data processing tools such as Apache Beam or Apache Spark
You have worked with cloud platforms like GCP or AWS

Where You'll Be

This role is based in New York
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $184,050 $262,928 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Machine Learning, ML Systems, Generative AI, Apache Spark, Cloud, GCP, AWS]]></skills>
    <expirationdate>2026-06-28T15:21:11.249Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Program Manager, Human Data]]></title>
    <date>2026-04-29T15:14:36.139Z</date>
    <referencenumber>cmpgigzuf02wkv2xqfz7b233b</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/program-manager-human-data-e87b8213</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Human Data team turns human feedback into reliable signals for training and evaluation. We design and run end-to-end programs that capture the depth of human intent behind everyday and high-stakes uses of our models. Our remit spans bespoke data campaigns, scalable synthetic data generation, and product-embedded signals. We partner closely across all research teams to translate these signals into training datasets, novel evaluations, and feedback loops that push the frontier of our models and advance their applications.

About the Role

As a Program Manager (PGM) in the Human Data team you will partner with our research teams, operations and engineering to execute complex programs for collecting high-quality data. You will be a key interface between our external vendors and AI trainers, ensuring human data campaigns are successfully completed. Your work will play a key role in enabling OpenAI to train safe models that will land in the real world

This role is based in our San Francisco HQ.

In this role, you will:

Work in a high velocity environment, where the outcome of your work will have a direct impact on the models that OpenAI deploy in the real world

Work closely with external vendors, trainers and internal researchers to collect, review, and deliver high-quality data

Gather requirements, write instructions, define success criteria, and calibrate the AI trainers

Use internal tooling to assess labeled data and provide feedback to AI trainers

Think critically and share recommendations on tooling and process improvements, optimizing for quality, throughput, and AI trainer experience

You’ll thrive in this role if:

You thrive in dynamic environments. You are comfortable navigating ambiguity, managing shifting priorities, and adapting to fast-paced changes without missing a beat.

You’re curious about AI, LLMs, Agents. While not required, an interest or background in these areas will help you connect the dots in our broader mission.

You have a can-do attitude. You don’t shy away from rolling up your sleeves and tackling the "grunt work" with the same enthusiasm as high-visibility tasks.

You’re an excellent communicator. You love bringing people together, fostering collaboration, and providing clarity in complex situations. Your empathetic approach helps you understand different perspectives and build strong, trusting relationships.

You are resilient and flexible. Setbacks don’t rattle you. You bounce back quickly, adjust strategies as needed, and maintain a positive, solution-oriented mindset.

You’re super organized amidst chaos. Even when things are moving quickly, you keep track of details, manage competing demands, and bring structure to complexity.

You enjoy operational work. While you might have an interest in broader topics like safety, you find satisfaction in executing operational tasks efficiently and effectively.

You have a knack for data. You've gone beyond basic data annotation and have hands-on experience with data analytics, using insights to inform decisions and improve processes.

You’re energized by start-up environments. If you enjoy the hustle, resourcefulness, and rapid iteration typical of start-ups, you’ll feel right at home.

You have some relevant experience. Ideally, you have at least 1-2 years of relevant experience and are eager to grow within a role that challenges and develops your skills.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[LLMs]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[LLMs]]></skills>
    <expirationdate>2026-06-28T15:14:36.139Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Engineering Manager - Social Listening]]></title>
    <date>2026-04-29T13:13:00.799Z</date>
    <referencenumber>cmpgigmpq02fmv2xqhq8mjv3w</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/engineering-manager-social-listening-0da70174</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Stockholm]]></city>
    <country>ES</country>
    <description><![CDATA[We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

We’re building one of Spotify’s most social and engaging experiences: Jam. Jam brings people together through music, enabling friends and groups to listen in real time, wherever they are. It transforms listening from a solo activity into a shared experience and plays an important role in how Spotify connects users through audio.

You’ll join a cross-functional team working across mobile, backend, and platform technologies to shape how millions of people experience music together.

What You'll Do

Lead, support, and grow a team of engineers across iOS, Android, backend, and cross-platform technologies

Drive delivery of features that power real-time, shared listening experiences

Collaborate closely with Product, Design, and Engineering leaders to shape vision, strategy, and roadmaps

Guide the team through complex technical challenges such as real-time synchronization, device connectivity, and cross-platform consistency

Enable high-quality, reliable user experiences across devices and platforms

Foster a culture of ownership, continuous improvement, and strong engineering practices

Create an inclusive and healthy team environment where individuals can grow and do their best work

Who You Are

You have experience leading and developing engineering teams, including hiring, coaching, and performance management

You are experienced with building and scaling complex systems, ideally in real-time or distributed environments

You have a strong understanding of software engineering across mobile and backend technologies

You care about building inclusive, collaborative teams and creating a positive team environment

You are comfortable working across disciplines and influencing product and technical direction

You balance execution with long-term thinking and make thoughtful, pragmatic decisions

You have experience solving challenges related to synchronization, connectivity, or cross-platform development

Where You'll Be

This role is based in London or Stockholm

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Android]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Android]]></skills>
    <expirationdate>2026-06-28T13:13:00.799Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Staff Machine Learning Engineer, Content Platform]]></title>
    <date>2026-04-29T12:40:29.525Z</date>
    <referencenumber>cmpgignll02mav2xq49hftehh</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-staff-machine-learning-engineer-content-platform-5b56841c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. 

The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow—driven by advances in AI and new creation tools—we’re building intelligent systems that can evaluate, manage, and route content reliably at global scale.

We’re seeking a Senior Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding, safety, and decisioning across the platform. In this role, you’ll shape the architecture and technical strategy that ensures content is evaluated, governed, and safely delivered at global scale. This work is foundational to delivering safe, high-quality experiences for both listeners and creators, while enabling new ways to interact with content across Spotify.

What You Will Do

Shape the machine learning strategy for content understanding and platform-level decisioning

Build &amp; scale ML systems for classification, moderation, ranking, risk detection across multimodal content

Develop automated decisioning systems that ensure content quality, integrity, &amp;  policy compliance at scale

Design and deploy models across text, audio, image, and video domains

Build systems that enable controlled, reliable access to content and metadata for downstream applications

Collaborate with product, policy, trust &amp; safety teams to operationalize content standards across platform

Improve automation to reduce manual intervention while maintaining high standards of trust and quality

Mentor engineers and contribute to best practices in ML engineering, evaluation, and system design

Who You Are

You have strong experience building production-grade machine learning systems at scale

You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX

You have worked with or are interested in multimodal machine learning

You understand how to design systems that balance automation with quality, safety, and user experience

You are comfortable working on complex, ambiguous problems with high impact

You think in systems, connecting models to platform-level outcomes and user experiences

You care deeply about data quality, evaluation rigor, and system reliability

You communicate clearly and influence across technical and non-technical teams

Where You Will Be

This role is based in London or Stockholm

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Machine Learning, ML Systems, PyTorch, TensorFlow]]></skills>
    <expirationdate>2026-06-28T12:40:29.525Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Manager - Security & Trust (EMEA/AMER)]]></title>
    <date>2026-04-29T11:07:28.934Z</date>
    <referencenumber>cmpgih6ec03msv2xqlfegubyg</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-manager-security-trust-emea-amer-b24077fa</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[Supabase is the Postgres development platform, built by developers for developers to help them ship countless products that people love. More than 7 million developers trust us with their data, and we are custodians of every byte of it. Security is foundational to that trust, and as we move deeper into AI-native development, regulated industries, and enterprise, it shapes whether a developer chooses us on day one and whether a regulated company can build their most sensitive workloads on Supabase.

About the roleWe're looking for a PM who can balance the constant tension between security and developer experience at platform scale. Every control you add is friction a developer has to absorb, and every default you loosen is a door an attacker could walk through. Finding the right balance between protecting customers and keeping them fast is the work of this role.

You'll partner with Security Engineering, Compliance, and the platform teams that own auth, networking, and audit.

This is a remote position and we're open to considering candidates located across EMEA and AMER time zones.

In This Role You WillSet the security agenda for the platform. Lead Supabase's platform security roadmap end-to-end, from the defaults that protect a developer prototyping their first project to the advanced controls a Fortune 500 CISO needs before approving us.

Hold the line between security and developer experience. Every security feature trades protection against friction. A control that's too strict pushes developers off the platform; one that's too easy to bypass doesn't protect anyone.

Lead our security strategy for AI agents. Agents now read, write, and deploy on behalf of developers and companies, often at machine speed. You'll lead how Supabase authenticates, scopes, and audits agent activity so customers can give them real capability while staying in control of their data.

Own our security product surface. Drive the roadmap for the security tooling customers use to operate safely on Supabase: firewall, security advisors, audit logs, Supabase Vault, just-in-time database access, and the IAM primitives that let regulated customers get to "yes" with their security team.

Define the unified access model across Supabase. Roles, permissions, personal access tokens, OAuth integrations, organization and project modeling, SSO, and SCIM are foundational to how customers manage who can do what. You'll set the strategy that ties them together and drive the cross-cutting RFCs from proposal to shipped code.

Drive the compliance roadmap. Supabase already runs a strong compliance program with SOC2 and HIPAA in place. Your job is to define what comes next so more regulated companies can adopt us.

Be the customer's voice for security. Talk to enterprise prospects, regulated customers, and the security teams behind them. Translate what you hear into a roadmap that earns trust at every customer size, from the indie hacker prototyping their first project to the Fortune 500 CISO evaluating us for their most regulated workloads.

Ship the docs that go with the code. Make the security guides on supabase.com the best in the category: clear, opinionated, and trustworthy enough that a developer evaluating us comes away convinced.

You Might Be a Good Fit If YouHave 7+ years in product management, with serious time on security, identity and access, infrastructure, or developer platform products at a company where security mattered to enterprise buyers.

Have deep working knowledge of the security primitives our customers use like authentication, authorization (RBAC, RLS), audit logging, secrets management, OAuth.

Have a track record of leading cross-functional initiatives across Product, Engineering, Security, GTM, and Compliance, and driving multi-team RFCs from proposal to shipped code.

Are 100% comfortable in a remote, async, write-it-down culture.

Are an exceptional writer. You can draft a customer-facing security disclosure, an internal threat model, a docs page, or a one-pager for a CISO without losing voice or precision.

Nice to haveCompliance fluency. You've worked alongside auditors and security teams on programs like SOC2, HIPAA, ISO 27001, PCI, or FedRAMP, and you can tell which requirements are real customer needs and which are checkbox theater.

Technical depth in Postgres, auth systems, or networking primitives.

Experience designing access models for AI agents or other automated systems.

Shipped security features that enterprise CISOs had to approve before adoption.

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headph]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, OAuth, SSO, SCIM, HTTP, Product Management, FedRAMP]]></skills>
    <expirationdate>2026-06-28T11:07:28.934Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Deployment Engineer- Codex]]></title>
    <date>2026-04-28T23:49:39.921Z</date>
    <referencenumber>cmpgih2dh03e6v2xq4jnqr8h2</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-deployment-engineer-codex-0d0b0bc8</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York City]]></city>
    <country>US</country>
    <description><![CDATA[About the team

The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.

About the Role

We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.

This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.

In this role, you will:

Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.

Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.

Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.

Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.

Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.

Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.

Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.

Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.

You’ll thrive in this role if you:

Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.

Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.

Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.

Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.

Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.

Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.

Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.

Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, includi]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, SDLC]]></skills>
    <expirationdate>2026-06-27T23:49:39.921Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Productivity - Networking]]></title>
    <date>2026-04-28T23:13:37.790Z</date>
    <referencenumber>cmpgih2e803ecv2xqaigbauce</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-productivity-networking-9ec1d0b5</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamWe’re hiring software engineers to make OpenAI’s networking teams more productive. These teams build and operate the high-performance networking systems that support OpenAI’s training and inference infrastructure at frontier scale.

About the RoleWe’re looking for someone who cares deeply about the developer experience of engineers working on complex infrastructure systems — especially around build systems, test architecture, release pipelines, and reliable development workflows.

This role will be embedded with OpenAI’s networking team: making it faster, safer, and easier for engineers to build, test, validate, and ship changes across multi-server, networked, and hardware-adjacent environments.

In this role you will:

Improve development workflows for engineers building and operating OpenAI’s networking systems

Design and improve continuous deployment, release, and validation pipelines

Build and maintain test harnesses for multi-server, networked, and hardware-backed environments

Improve iteration speed across C++, Python, and build-system-heavy codebases

Partner with engineers to identify friction in CI, testing, debugging, and deployment workflows

Drive testing and reliability strategy for infrastructure components that support large-scale training and inference workloads

Work closely with centralized developer experience teams while staying deeply embedded with the networking engineers closest to the systems

You might thrive in this role if:

You are motivated by helping other engineers move faster and with more confidence

You have experience with CI/CD, release pipelines, testing infrastructure, or build systems

You are comfortable moving between C++, Python, and build systems such as CMake, Bazel, or Blaze

You enjoy building test harnesses, automation, and workflow improvements for complex systems

You do not need to be a networking expert, but you are excited to learn enough about the domain to make the team meaningfully more effective

When you see repeated friction — slow builds, flaky tests, brittle release processes, painful debugging, unclear validation — your instinct is to fix the underlying system

You are pragmatic and know how to balance high standards with forward progress

You like going end-to-end: understanding the engineers, the workflows, the codebase, and the operational realities behind the system

You are self-directed and comfortable operating with ambiguity in a high-context infrastructure environment

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Joi]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Python]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Python, CI/CD]]></skills>
    <expirationdate>2026-06-27T23:13:37.790Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Lead Producer, Audiobook Production]]></title>
    <date>2026-04-28T20:12:00.327Z</date>
    <referencenumber>cmpgigmvn02gwv2xqxqwo8o6z</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/lead-producer-audiobook-production-ddaf0ccb</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[Spotify’s Audiobooks team is building a world-class listening experience for authors, publishers, and listeners alike. As part of this team, you’ll help bring stories to life through high-quality production and thoughtful creative execution. You’ll work closely with Publishing, Partner Relations, and Content Strategy to deliver compelling audiobook content at scale while shaping how we produce and grow this space.

What You'll Do

Lead and support a team of two producers, guiding day-to-day execution across multiple audiobook productions
Oversee end-to-end production, from pre-production, casting, recording, quality control, and delivery
Set clear project scopes, timelines, and deliverables, identifying risks early and keeping projects on track
Collaborate with internal teams and external partners to ensure alignment on creative vision and production goals
Act as the primary production partner to Publishing, aligning output with partner commitments and content priorities
Work closely with Partner Relations and Content Strategy to translate business needs into strong production plans
Manage budgets, contracts, and vendor relationships, ensuring smooth delivery from scoping through wrap
Lead casting decisions and direct recording sessions, ensuring each title meets a high creative standard
Build and maintain relationships with narrators and production partners to support a diverse and scalable talent network
Help improve and standardize production workflows to support a growing catalog of audiobook content

Who You Are

You have 5+ years of experience in production, including time leading projects or teams in a media, publishing, or creative environment
You are experienced in managing multiple productions at once and keeping teams aligned in fast-moving environments
You have a strong understanding of the full audiobook production lifecycle, from planning through final delivery
You are comfortable working across teams and can translate business or editorial goals into clear production plans
You experience building and maintaining senior client relationships, instilling confidence and trust in Spotify's production capabilities.
You have experience working with external vendors, including defining scope, timelines, and budgets
You communicate clearly and build strong relationships with both creative and business partners
You stay organized and adaptable when priorities shift, and you’re comfortable making decisions in ambiguity
You care about creating inclusive, high-quality content and supporting a collaborative team environment

Where You Will Be

This role is based in New York, NY
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $89,853.00 –$128,362.00, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-27T20:12:00.327Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Researcher, Misalignment Research]]></title>
    <date>2026-04-28T19:54:04.574Z</date>
    <referencenumber>cmpgih1xo03ayv2xq6k6wf7k4</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/researcher-misalignment-research-ce44bcd8</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamSafety Systems sits at the forefront of OpenAI’s mission to build and deploy safe AGI, ensuring our most capable models can be released responsibly and for the benefit of society. Within Safety Systems, we are building a misalignment research team to focus on the most pressing problems for the future of AGI.  Our mandate is to identify, quantify, and understand future AGI misalignment risks far in advance of when they can pose harm.

The work of this research taskforce spans four pillars:

Worst‑Case Demonstrations – Craft compelling, reality‑anchored demos that reveal how AI systems can go wrong.  We focus especially on high importance cases where misaligned AGI could pursue goals at odds with human well being.

Adversarial &amp; Frontier Safety Evaluations – Transform those demos into rigorous, repeatable evaluations that measure dangerous capabilities and residual risks.  Topics of interest include deceptive behavior, scheming, reward hacking, deception in reasoning, and power-seeking, along with other related areas.

System‑Level Stress Testing – Build automated infrastructure to probe entire product stacks, assessing end‑to‑end robustness under extreme conditions.  We treat misalignment as an evolving adversary, escalating tests until we find breaking points even as systems continue to improve.

Alignment Stress‑Testing Research – Investigate why mitigations break, publishing insights that shape strategy and next‑generation safeguards.  We collaborate with other labs when useful and actively share misalignment findings to accelerate collective progress.

About the Role

We are seeking a Senior Researcher who is passionate about red‑teaming and AI safety. In this role you will design and execute cutting‑edge attacks, build adversarial evaluations, and advance our understanding of how safety measures can fail—and how to fix them. Your insights will directly influence OpenAI’s product launches and long‑term safety roadmap.

In this role, you willDesign and implement worst‑case demonstrations that make AGI alignment risks concrete for stakeholders, focused on high stakes use cases described above.

Develop adversarial and system‑level evaluations grounded in those demonstrations, driving adoption across OpenAI. 

Create automated tools and infrastructure to scale automated red‑teaming and stress testing.

Conduct research on failure modes of alignment techniques and propose improvements.

Publish influential internal or external papers that shift safety strategy or industry practice.  We aim to concretely reduce existential AI risk.

Partner with engineering, research, policy, and legal teams to integrate findings into product safeguards and governance processes.

Mentor engineers and researchers, fostering a culture of rigorous, impact‑oriented safety work.

You might thrive in this role if youAlready are thinking about these problems night and day, and share our mission to build safe, universally beneficial AGI and align with the OpenAI Charter.

Have 4+ years of experience in AI red‑teaming, security research, adversarial ML, or related safety fields.

Possess a strong research track record—publications, open‑source projects, or high‑impact internal work—demonstrating creativity in uncovering and exploiting system weaknesses.

Are fluent in modern ML / AI techniques and comfortable hacking on large‑scale codebases and evaluation infrastructure.

Communicate clearly with both technical and non‑technical audiences, translating complex findings into actionable recommendations.

Enjoy collaboration and can drive cross‑functional projects that span research, engineering, and policy.

Hold a Ph.D., master’s degree, or equivalent experience in computer science, machine learning, security, or a related discipline (nice to have but not required).

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Machine Learning]]></skills>
    <expirationdate>2026-06-27T19:54:04.574Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Counsel, AI Policy]]></title>
    <date>2026-04-28T19:16:23.703Z</date>
    <referencenumber>cmpgih21k03bqv2xqwztq7iei</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/counsel-ai-policy-f7cb01be</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax law, regulatory, and litigation.

About the Role

We’re seeking an AI Policy Counsel to help navigate the increasing AI legislative and regulatory landscape in the US and abroad. We’re looking for a legal self-starter with deep experience in technology policy and a knack for analyzing complex legislative and regulatory proposals for which there is often little precedent. This role reports to our Senior Counsel of AI Policy.

This role is based in our San Francisco, CA or Washington, DC offices. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Analyze proposed laws and regulations concerning AI to understand their impact on OpenAI and the broader AI community.

Collaborate across Legal and Global Affairs to develop policy positions.

Provide strategic analysis and advice to the Global Affairs team and other internal stakeholders.

Advise on evolving regulatory and industry standards affecting OpenAI’s business and customers.

You might thrive in this role if you:

Have 5+ years of experience with a mix of in-house and technology-focused law firm roles.

Have a strong background in technology policy, with experience analyzing complex legislation.

Have experience and familiarity with AI or a demonstrated interest in AI laws and regulations.

Write clearly and concisely, distilling complex concepts into simple, explainable, and persuasive ideas.

Have experience engaging with regulators and/or policymakers.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-27T19:16:23.703Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Head of Systems Operations]]></title>
    <date>2026-04-28T17:38:42.063Z</date>
    <referencenumber>cmpgih2fa03ekv2xq5crsjcg4</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/head-of-systems-operations-01224928</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Employee Technology Experience (ETX) team is responsible for delivering a world-class internal technology experience that enables employees to do their best work. We support and operate the employee-facing systems that keep the company moving quickly and efficiently.

Within ETX, the SysOps team sits at the center of critical internal platforms and operational workflows. The team owns a broad portfolio spanning identity systems, endpoint management, SaaS administration, infrastructure automation, enterprise tooling, and internal technical operations. We partner closely with Security, Engineering, Workplace, Finance, People and other cross-functional teams to ensure internal technology is fast, reliable, and scalable.

We are focused on building modern internal operations through automation, self-service, and AI-enabled workflows that reduce friction and create leverage across the company.

About the Role

We are hiring a Head of System Operations to lead a high-impact technical operations organization. This leader will be responsible for running the SysOps team, creating clarity across a broad remit, improving operational performance, architecture and building the future of how internal systems are delivered in the age of AI.

This role requires a strong operator who can organize complex work, set priorities, drive accountability, and continuously improve how the team functions. You will serve as the connective tissue across multiple technology domains while ensuring the team is focused on the highest-impact work.

You should be equally comfortable leading people, improving operational processes, and engaging deeply with technical systems. The role is ideal for someone who combines technical breadth with strong execution and a builder mindset.

You’ll be responsible for:

Leading and developing a high-performing System Operations team with clear ownership and accountability.

Setting priorities across a broad portfolio of operational and technical work to ensure focus.

Driving team effectiveness through strong operational rhythms, metrics, capacity planning, and execution discipline.

Driving automation, self-service, and AI-enabled workflows that reduce manual work, eliminate delays, improve employee experience, and scale operations across identity, endpoint, SaaS, and internal systems.

Overseeing the operation of core internal technology domains including identity systems, endpoint management, enterprise applications, and systems automation, with ownership of Entra ID architecture, lifecycle automation, access governance, and privileged access.

Ensuring internal technology operations meet security, audit, and control requirements through reliable processes and disciplined execution, supported by clear standards, version-controlled configuration, and measurable reliability.

Partnering cross-functionally to deliver scalable solutions for company growth, onboarding, integrations, and changing business needs.

Continuously improving the speed, quality, and reliability of technology services, while driving Terraform standards, reducing configuration drift, and raising the engineering bar.

We’re looking for someone with:

Experience leading systems engineering, enterprise technology, IT operations, or platform operations at scale.

Strong people leadership skills with a track record of building effective teams and raising performance standards.

Proven ability to run complex operational environments with clear prioritization and measurable results.

Technical depth across several areas such as identity platforms, endpoint management, SaaS administration, automation, infrastructure, or enterprise tooling.

Experience building durable processes that balances speed control, and high-quality user outcomes.

Familiarity with modern AI tools and practical ways to apply them to operations and internal workflows.

Strong judgment, clear communications, and comfort operating in fast-moving environments.

A hands-on, ownership-oriented mindset with high standards for execution.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicant]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Terraform]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Terraform]]></skills>
    <expirationdate>2026-06-27T17:38:42.063Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Researcher, Alignment Science]]></title>
    <date>2026-04-28T17:12:57.349Z</date>
    <referencenumber>cmpgigzpk02vev2xqfwvitwmy</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/researcher-alignment-science-7d7e2827</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe Alignment Science team at OpenAI studies the science of intent alignment: how to train models to understand what users are actually asking for, act faithfully on that intent while respecting safety constraints, verify what they did, and report their limitations honestly. Our work sits alongside broader value alignment efforts, but this team focuses on scalable methods for ensuring  instruction-following, honesty, and robustness as models become more capable.

We work on both sides of alignment research: producing externally publishable results and integrating promising techniques into the models OpenAI deploys. Recent team research on model confessions studies how models can be trained to honestly report shortcomings after their original answer, including failures involving hallucination, instruction following, scheming, and reward hacking. That work reflects a broader agenda: build scalable and general methods to ensure models follow human intent. 

The team uses a mix of training and evaluation methods, with a focus on reinforcement learning. We care about rigorous, quantitative research that can translate into safer model behavior.

About the RoleAs a Research Engineer / Research Scientist on the Alignment team, you will design and run experiments that help increasingly capable models follow user intent, remain calibrated about correctness and risk, and honestly surface their own mistakes. You will work on hands-on model training, evaluation design, and research infrastructure, while helping turn promising alignment methods into techniques that can be used in frontier model development.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. We are also open to exceptional remote candidates who can operate independently and collaborate closely with the team.

In this role, you will:Design and implement alignment experiments focused on intent following, honesty, calibration, and robustness.

Train and evaluate models using reinforcement learning, and other empirical ML methods.

Develop evaluations for failure modes such as hallucination, instruction-following failures, reward hacking, covert actions, and scheming.

Study methods that encourage models to verify their behavior and report shortcomings honestly, including confession-style training objectives.

Build monitoring and inference-time interventions that ensure compliant behavior or surface model issues to users or downstream systems.

Investigate how alignment methods scale with model capability, compute, data, context length, action length, and adversarial pressure.

Integrate successful techniques into model training and deployment workflows.

Produce externally publishable research when results advance the broader science of alignment.

Collaborate with researchers and engineers across post-training, RL, evaluations, safety, and product-facing teams.

You might thrive in this role if you:Have strong hands-on experience training, evaluating, or debugging large ML models, especially LLMs.

Have excellent engineering skills in Python and modern ML frameworks such as PyTorch.

Bring mathematical rigor, quantitative taste, and comfort turning ambiguous research questions into measurable experiments.

Have experience with reinforcement learning, post-training, preference optimization, scalable oversight, model evaluation, or adjacent empirical ML research.

Can operate with high independence and do not need close day-to-day handholding.

Enjoy fast-paced, collaborative research environments where priorities shift as models and evidence change.

Have a strong record in technical problem solving, such as competitive programming, math contests, systems work, or similarly rigorous engineering and research projects.

Care about building AI systems that are trustworthy, honest, and reliable in high-stakes settings.

Are motivated by making concrete progress on alignment methods that can be tested, trained, published, and deployed.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for appl]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Reinforcement Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Reinforcement Learning, LLMs, Python, PyTorch]]></skills>
    <expirationdate>2026-06-27T17:12:57.349Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Engineering Manager - Content Platform]]></title>
    <date>2026-04-28T13:23:21.304Z</date>
    <referencenumber>cmpgigmog02fev2xq17llh4kv</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/engineering-manager-content-platform-aef6c6f0</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience Mission is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of users around the world, bringing the music, audio, and video they love to the devices, apps, and platforms they use every day.

The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats. We make sure that everything—from licensed tracks to creator submissions and user-generated content—is delivered in a way that’s trusted, safe, and high quality at global scale. Our work sits at the heart of Spotify’s ecosystem, shaping how content is ingested, understood, governed, and distributed.

We’re seeking an Engineering Manager to lead a team focused on delivering content across Spotify’s ecosystem—ensuring that metadata and media flow efficiently and reliably from a wide range of internal systems to our apps and partner platforms. This work underpins every play, recommendation, and interaction, requiring systems that are scalable, observable, and resilient.

What You'll Do

Lead and grow a team of engineers building large-scale systems that power how content is delivered across Spotify

Set technical direction and guide the evolution of backend systems responsible for content distribution

Partner closely with product, design, and platform teams to deliver reliable, high-impact solutions

Ensure highly available, scalable, and performant infrastructure supporting millions of content interactions

Foster a culture of ownership, collaboration, and continuous improvement within your team

Support engineers through coaching, feedback, and career development

Drive execution across complex, cross-functional initiatives involving multiple systems and stakeholders

Champion best practices in reliability, observability, and system design

Who You Are

You have experience leading and developing engineering teams in a fast-paced, product-driven environment

You bring strong technical experience in distributed systems, backend platforms, or infrastructure at scale

You know how to balance technical direction with people leadership, creating clarity and focus for your team

You are comfortable working across teams and aligning stakeholders toward shared goals

You care deeply about building reliable systems that impact millions of users

You have experience with high-throughput, low-latency systems or data/content delivery pipelines

You communicate clearly and foster an environment where ideas are shared openly

You are motivated by developing others and building inclusive, high-performing teams

Where You'll Be

This role is based in Stockholm or London

We offer you the flexibility to work where you work best! There will be some in-person meetings, but still allows for flexibility to work from home]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Distributed Systems]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Distributed Systems]]></skills>
    <expirationdate>2026-06-27T13:23:21.304Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Design Engineer]]></title>
    <date>2026-04-28T10:08:07.322Z</date>
    <referencenumber>cmpgih6dq03mqv2xqdqlqtbi0</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/design-engineer-1cd9f9f9</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About SupabaseSupabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

About the RoleWe're looking for a Design Engineer to join our Design Team and take full ownership of the look, feel, and experience of our marketing and documentation sites. In this role, design and code are fully intertwined — you won't be handing off to engineers, you'll be shipping it yourself. You'll move from identifying what needs improving to building and deploying it, with minimal direction and maximum ownership.

This role is ideal for someone who builds at work and in your personal time, is deeply curious about developer tools, and thrives in async environments where you're trusted to run with a problem and figure out the best solution.

What You'll Be Responsible ForOwn the end-to-end design and experience of supabase.com sites, like our marketing website, documentation site, and mini sites like Select conf, Launch Week — you will also be identifying problems with these sites, shipping fixes and continually improving them.

Collaborate with Product Marketing, Engineering, Product and the Docs team to ensure every page is clear and useful.

Make sure our sites have beautiful typography, layout, diagrams, code blocks etc.

Develop and ship live pages using modern front-end frameworks (React, Next.js, Vite). You’ll have an active voice in choosing libraries and frameworks.

Evolve our design system and reusable components to keep sites consistent and scalable.

Refine illustrations, diagrams, and messaging to improve technical clarity.

Proactively identify areas of the site that need improvement and drive them forward without waiting to be asked.

You Might Be a Good Fit If YouAre genuinely both a designer and a front-end developer — you're as comfortable in code as you are in Figma, and you don't think of them as separate activities

Actively use AI tools (Claude, Cursor, Codex etc) to experiment, prototype or ship websites/apps/features/products.

Have designed and built for developers or technical audiences — dev tools, crypto, tech startups, AI or similar; you understand who we're talking to

Are actively building things outside of work — side projects, personal experiments; you're curious and you ship.

Write production-quality front-end code using React, Next.js, Vite, Tailwind CSS, and component libraries like shadcn/Radix/Base UI

Take a broad brief and run with it — you identify what's worth working on, communicate your thinking, and get it done

Are comfortable working async and independently in a globally distributed team

Move fast without sacrificing craft — you balance quality with speed and know when good enough is good enough

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Hiring ProcessWe keep things simple, async-friendly, and respectful of your time:

Apply – Our team will review your application.

Intro Call – A short video chat to get to know each other.

Interviews – Up to four calls with:

Team Leads

Future teammates

Someone cross-functional from product, growth, or engineering (depending on the role)

Someone from our leadership/founding team

Decision – We may follow up with a final question or go straight to offer.

All communication is remote and we aim to mo]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Vector Search, HTTP, React, Next.js, Figma, Cursor, Codex]]></skills>
    <expirationdate>2026-06-27T10:08:07.322Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Staff Machine Learning Engineer - Content Policy & Safety]]></title>
    <date>2026-04-28T08:45:37.083Z</date>
    <referencenumber>cmpgignlc02m8v2xqkd14hx1s</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-staff-machine-learning-engineer-content-policy-safety-e9ce9030</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow, driven by advances in AI and new creation tools—we’re investing in systems that ensure content remains safe, compliant, and high quality.

We’re seeking a Senior Staff Machine Learning Engineer to build and scale ML systems that power safety, policy enforcement, and compliance across Spotify. In this role, you’ll shape how automated systems evaluate and act on content—ensuring decisions are consistent, explainable, and reliable at global scale. This work is critical to maintaining trust for both listeners and creators.

What You Will Do

Define &amp; drive machine learning strategy for safety, policy enforcement, and compliance systems

Build and scale ML systems for detection, classification, and risk assessment across content

Develop automated decisioning systems that ensure consistent, reliable enforcement of policies

Design systems that support real-time and large-scale content evaluation

Collaborate with product, policy, and trust &amp; safety teams to operationalize content standards

Improve automation to reduce manual intervention,maintaining high quality and safety standards

Drive best practices in evaluation, fairness, and system reliability

Mentor engineers and contribute to technical direction across teams

Who You Are

You have strong experience building production-grade machine learning systems at scale

You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or similar

You have worked on systems where ML outputs influence real-world decisions

You understand how to design systems that balance automation with safety and user experience

You are comfortable working on complex, ambiguous problems with high impact

You think in systems and understand how models connect to platform-level outcomes

You care about data quality, evaluation rigor, and system reliability

You communicate clearly and influence across technical and non-technical teams

Where You Will Be

This role is based in London or Stockholm

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Machine Learning, ML Systems, PyTorch, TensorFlow]]></skills>
    <expirationdate>2026-06-27T08:45:37.083Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Compute Optimization Researcher/Engineer]]></title>
    <date>2026-04-27T19:55:47.791Z</date>
    <referencenumber>cmpgih2c903dwv2xqozhqxnmk</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/compute-optimization-researcher-engineer-3e64f3f4</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s infrastructure organization builds and operates the systems that power frontier AI workloads at global scale. As our compute footprint expands across first-party data centers, cloud providers, and strategic partners, efficient capacity planning and resource allocation become critical to delivering reliable and cost-effective compute.

The Compute Optimization team sits at the intersection of engineering, operations, finance, and infrastructure strategy. We develop the models, decision systems, and planning frameworks that optimize how compute resources are deployed, scheduled, and scaled across a rapidly growing global environment.

About the Role

We are seeking Compute Optimization Researcher/Engineer to build the systems that maximize the value of OpenAI’s global compute capacity.

In this role, you will work on high-impact optimization problems spanning capacity allocation, demand forecasting, cluster planning, workload placement, and infrastructure utilization. You will combine mathematical modeling, software systems, and cross-functional execution to improve how compute is planned and consumed across GPU clusters, networking, storage, and data center environments.

This role is ideal for candidates with backgrounds in operations research, optimization, applied math, infrastructure systems, or large-scale capacity planning.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.

In this role, you will

Build optimization models for compute allocation, workload scheduling, and cluster utilization.

Develop planning systems that balance supply, demand, cost, latency, and reliability constraints.

Create forecasting frameworks for GPU demand, infrastructure growth, and capacity needs.

Design decision tools for allocating compute across internal teams, products, and strategic priorities.

Partner with architecture, infrastructure engineering, finance, and operations teams to translate business needs into mathematical models.

Integrate multiple operational data sources into planning systems and optimization workflows.

Improve utilization of GPUs, networking, power, cooling, and storage infrastructure.

Analyze tradeoffs across first-party data centers, cloud providers, and hybrid environments.

Build dashboards, metrics, and operational tooling for capacity decision-making.

Lead ambiguous, cross-functional initiatives that improve infrastructure efficiency at scale.

Present recommendations clearly to technical leaders and executives.

Continuously refine models based on changing workloads, supply constraints, and business priorities.

You might thrive in this role if you

Doctorate degree in Computer Science, Engineering, Mathematics, Operations Research, Economics, or related field.

5+ years of experience in optimization, planning, infrastructure analytics, or systems engineering.

Strong experience with linear programming, mixed-integer optimization, convex optimization, simulation, or forecasting methods.

Proficiency in Python and data tooling (SQL, Pandas, Spark, etc.).

Experience translating real-world business constraints into scalable optimization systems.

Strong analytical problem-solving skills with comfort operating in ambiguous environments.

Ability to influence cross-functional stakeholders without formal authority.

Excellent communication skills with both technical and non-technical audiences.

Preferred Qualifications

Experience with large-scale infrastructure, cloud capacity planning, or data center operations.

Familiarity with tools such as Gurobi, CPLEX, CVXPY, Pyomo, or similar solvers.

Experience optimizing GPU fleets, networking systems, or distributed compute environments.

Background in supply-demand planning, logistics, marketplace optimization, or resource scheduling.

Experience working in fast-scaling technology environments.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will b]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud, GPUs, Linear, Python, SQL, Pandas, Logistics]]></skills>
    <expirationdate>2026-06-26T19:55:47.791Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Tokens-as-a-Service (Taas) Software Engineer]]></title>
    <date>2026-04-27T19:55:27.406Z</date>
    <referencenumber>cmpgih2cp03e0v2xqlidn0i32</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/tokens-as-a-service-taas-software-engineer-6e018e9f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Role

We are seeking a Tokens-as-a-Service (TaaS) Engineer to help build the systems that convert large-scale infrastructure capacity into measurable, reliable token throughput for OpenAI workloads.

In this role, you will work across performance benchmarking, tokenomics, model porting, infrastructure integration, systems tooling, and operational monitoring. You will help connect partner and first-party compute environments into OpenAI’s infrastructure stack, ensuring GPU capacity can be onboarded, measured, monitored, and optimized against real workload outcomes.

Key Responsibilities

Develop systems and tooling to measure, monitor, and improve token throughput across first-party and partner-owned compute environments.

Support performance benchmarking, tokenomics analysis, and model porting across heterogeneous infrastructure environments.

Build tooling to integrate external or partner infrastructure into OpenAI’s internal compute, observability, and workload management systems.

Develop and monitor operational metrics including billing, usage, SLAs, utilization, reliability, and throughput.

Identify bottlenecks across hardware, networking, software, and workload enablement that prevent capacity from becoming productive tokens.

Partner with compute, infrastructure, networking, finance, and operations teams to translate raw capacity into usable workload-serving capacity.

Build dashboards, automation, and reporting systems that provide clear visibility into TaaS capacity, performance, and business outcomes.

Qualifications

Strong software engineering background with experience building systems, tooling, automation, or infrastructure platforms.

Experience working across compute infrastructure, distributed systems, performance engineering, or production operations.

Ability to reason about token throughput, utilization, benchmarking, infrastructure efficiency, and workload performance.

Comfortable integrating external systems or partner environments into internal infrastructure stacks.

Strong analytical and debugging skills across hardware, networking, software, and operational domains.

Preferred Skills

Experience with GPU clusters, AI infrastructure, performance benchmarking, or workload optimization.

Familiarity with model porting, inference/training workloads, token economics, or compute efficiency analysis.

Experience building monitoring systems for billing, usage, SLAs, utilization, or infrastructure reliability.

Background in systems engineering, infrastructure software, observability, distributed systems, or platform engineering.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the pote]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Distributed Systems]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Distributed Systems]]></skills>
    <expirationdate>2026-06-26T19:55:27.406Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Compute Infrastructure]]></title>
    <date>2026-04-27T19:05:22.753Z</date>
    <referencenumber>cmpgih2dq03e8v2xqkai1ii4h</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-compute-infrastructure-bdfee7b1</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team:

Compute Infrastructure builds the platform that turns enormous amounts of compute into a reliable engine for frontier AI. We design, provision, schedule, operate, and optimize the systems that connect accelerators, CPUs, networks, storage, data centers, orchestration software, agent infrastructure, developer tools, and observability into one coherent experience for researchers and product teams.

Our work spans the entire stack: capacity planning and cluster lifecycle, bare-metal automation, distributed systems, Kubernetes and scheduling, deep system optimization, high-performance networking, storage, fleet health, reliability, workload profiling, benchmarking, and the developer experience that lets teams use enormous compute systems with confidence. At this scale, small improvements to communication, scheduling, hardware efficiency, or debugging workflows can compound into meaningful research velocity. We are hiring across Compute Infrastructure rather than for a single narrow team, and we use this opening to match strong engineers to the problems where they can have the most leverage.

About the Role

We are looking for engineers who want to build the compute platform behind OpenAI's research and products. You may be strongest in low-level systems, high-performance computing, distributed infrastructure, reliability, CaaS, agent infrastructure, developer platforms, tooling, or the user experience around infrastructure. What matters is that you can reason carefully about complex systems, write durable software, and raise the quality and velocity of the people around you.

Depending on your background and interests, you might work close to hardware, close to users, on CaaS and agent infrastructure, or on the control planes and data planes in between. You could help bring new supercomputing capacity online, optimize training workloads from profiler traces and benchmarks, improve NCCL and collective communication behavior, reason about GPUs, NICs, topology, firmware, thermals, and failure modes, or design abstractions that make heterogeneous clusters feel like one coherent platform.

We do not expect every candidate to have worked at every layer. Some engineers will go deep on systems performance, kernel or runtime behavior, large-scale networking protocols, RDMA, NCCL, GPU hardware behavior, benchmarking, scheduling, or hardware reliability; others will make the platform more usable through APIs, tools, workflows, and developer experience. The common thread is strong engineering judgment and excitement about making enormous compute systems faster, more reliable, and easier to use.

This is a general opening for Compute Infrastructure. We will consider candidates for teams across Compute Infrastructure and match you based on your strengths, the problems that motivate you, and where the infrastructure needs are highest.

Where you might work

Compute Foundations: Build the low-level platform primitives that make heterogeneous hardware, providers, and data centers repeatable, automatable, and operable at scale.

Fleet / Orchestration: Turn raw capacity into reliable, efficient clusters and scheduling systems that researchers and product teams can use with minimal friction and great experience.

Core Network Engineering: Build and operate the high-performance networking fabrics, protocols, and observability needed for the largest training and serving workloads.

Hardware Health and Observability: Detect, diagnose, remediate, and prevent hardware and fleet-health issues so usable compute stays high across providers and accelerator generations.

Storage: Build scalable, performant, durable storage abstractions that keep data movement and storage access from becoming a bottleneck to research or products.

Agent Infrastructure: Build sandboxed execution infrastructure for agentic workloads across research and production, with strong isolation, reliability, and scale.

In this role, you will:

Build and deeply optimize reliable system software for large-scale compute systems that run some of the world's most demanding AI workloads

Design and operate infrastructure across accelerators, CPUs, NICs, switches, networking protocols, storage, data centers, cluster orchestration, scheduling, and fleet health

Profile, benchmark, and optimize training workloads across compute, memory, storage, networking, NCCL and collective communication, and cluster scheduling bottlenecks

Create hardware-aware automation that makes provisioning, firmware and driver upgrades, incident response, and day-to-day operations faster and less error-prone

Build CaaS, agent infrastructure, profiling, observability, benchmarking, and platform tools that help researchers, product engineers, and operators launch, debug, and optimize workloads with less friction

Turn operational lessons into better systems, stronger abstractions, and clearer ownership boundaries across teams

Collaborate across research, engineering, security, networ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Distributed Systems]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Distributed Systems, Kubernetes, GPUs, APIs, Operators]]></skills>
    <expirationdate>2026-06-26T19:05:22.753Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Tokens-as-a-Service (TaaS) Lead]]></title>
    <date>2026-04-27T17:30:27.118Z</date>
    <referencenumber>cmpgih2ah03div2xqk18a5xka</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/tokens-as-a-service-taas-lead-9c478eb6</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Industrial Compute team is responsible for building and scaling large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments. We focus on converting power, land, hardware, and operational execution into reliable compute capacity that can support frontier AI training and inference workloads.

This team operates at the intersection of infrastructure delivery, hardware systems, utilities, supply chain, and capacity strategy—ensuring OpenAI can scale compute faster than traditional models allow.

About the Role

We are seeking a Tokens-as-a-Service (TaaS) Lead to drive the end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads.

In this role, you will own execution across complex compute programs where raw infrastructure capacity must be transformed into operational GPU throughput. You will coordinate across data center delivery, power, networking, hardware deployment, workload enablement, finance, and external partners to ensure capacity becomes productive tokens as quickly and efficiently as possible.

This role is ideal for someone who can bridge physical infrastructure delivery with compute utilization outcomes. Success requires strong systems thinking, elite program leadership, and the ability to drive accountability across internal teams and strategic partners.

In this role, you will

Lead Tokens-as-a-Service programs across industrial compute environments, including first-party and partner-owned capacity.

Convert delivered power, space, and hardware capacity into production-ready token throughput.

Build integrated execution plans spanning construction, power energization, rack deployment, networking, cluster readiness, and workload onboarding.

Partner with infrastructure engineering, hardware, networking, finance, supply chain, and operations teams.

Drive external providers, EPCs, OEMs, utilities, and strategic partners toward aggressive timelines.

Identify bottlenecks between physical delivery and usable compute output, then lead resolution.

Build operating cadences, dashboards, forecasts, and executive reporting for TaaS programs.

Develop repeatable deployment models for future industrial compute expansion.

You might thrive in this role if you

Have led hyperscale infrastructure, data center, manufacturing, or industrial deployment programs.

Understand how power + hardware + networking + software combine into usable compute.

Can operate equally well with engineers, operators, executives, and external partners.

Are highly structured in ambiguous, fast-moving environments.

Know how to escalate intelligently and maintain momentum under pressure.

Can translate technical execution into business outcomes.

Preferred Skills

Experience with GPU clusters, AI infrastructure, hyperscale data centers, or industrial technology programs.

Background in program management, operations leadership, capacity delivery, or strategic infrastructure execution.

Familiarity with utilities, construction, commissioning, networking, hardware deployment, or cluster bring-up.

Experience managing multi-billion-dollar infrastructure or capacity programs.

Strong executive communication and stakeholder management skills.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data co]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Operators]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Operators]]></skills>
    <expirationdate>2026-06-26T17:30:27.118Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Research Infrastructure Engineer, Training Systems]]></title>
    <date>2026-04-27T17:06:33.700Z</date>
    <referencenumber>cmpgih14u035sv2xqyphfrkii</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/research-infrastructure-engineer-training-systems-f1daed73</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About The Team

The team works on research and systems that advance frontier models. Our work often goes beyond standard training recipes, which means we also build the infrastructure needed to make new training approaches practical at scale. This is a team where systems work is directly tied to research progress: better tools, abstractions, and runtimes can unlock experiments that would otherwise be too slow, brittle, or difficult to express.

About The Role

This is a systems engineering role focused on ML training infrastructure. You will work on the systems layer that turns novel research ideas into runnable, measurable training workloads for large models. The work can sit on the critical path for model releases, bringing both the excitement of direct impact and the responsibility of building systems that remain reliable under real pressure.

In This Role, You Will

Build and maintain infrastructure for large-scale model training and experimentation.

Design APIs and interfaces that make complex training workflows easier to express and harder to misuse.

Improve reliability, debuggability, and performance across training and data pipelines.

Debug issues spanning Python, PyTorch, distributed systems, GPUs, networking, and storage.

Write tests, benchmarks, and diagnostics that catch meaningful regressions.

You Might Thrive In This Role If You

You want to build systems that enable new model training approaches, not just optimize established ones.

You have strong systems instincts and care deeply about performance, reliability, and clean abstractions.

You have good taste in API and interface design, with empathy for the researchers and engineers using your tools.

You are comfortable working across ML research code and production-quality infrastructure.

You enjoy debugging from evidence: profiles, traces, logs, tests, and minimal reproductions.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[APIs]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[APIs, Python, PyTorch, Distributed Systems, GPUs]]></skills>
    <expirationdate>2026-06-26T17:06:33.700Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Consultor/a SAP HCM — Nómina Española | Empresa Internacional]]></title>
    <date>2026-04-27T16:26:08.993Z</date>
    <referencenumber>va3a99f1a97163259e9f1d656b207a44b5</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/consultor-sap-hcm-nomina-espanola-empresa-internacional-madrid</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Madrid]]></city>
    <country>ES</country>
    <description><![CDATA[🚀 Consultor/a SAP HCM – Nómina Española | Madrid | Empresa Internacional

Buscamos un Consultor SAP HCM con experiencia consolidada en Nómina España para proyecto en empresa internacional con sólida presencia en mercado europeo. Excelente oportunidad para profesionales que buscan continuidad y crecimiento técnico.

🎯 Qué harás
• Implementación y mantenimiento de SAP HCM Payroll España
• Configuración del esquema de nómina y reglas de cálculo
• Gestión del ciclo de nómina mensual: cálculo, validación, pagos
• Adaptación a cambios legales: Real Decretos, IRPF, Seguridad Social, Convenios Colectivos
• Soporte funcional a usuario clave y resolución de incidencias
• Cierres mensuales y anuales (renta, modelos AEAT)
• Coordinación con equipo cliente y partners externos

🧠 Qué buscamos
• 3+ años de experiencia consolidada en SAP HCM Payroll España
• Dominio profundo de esquemas, reglas, infotipos de nómina española
• Conocimiento de conceptos: IRPF, Seguridad Social, finiquitos, anticipos, embargos
• Experiencia con modelos fiscales (190, 111, 145)
• Capacidad analítica y resolutiva
• Castellano nativo, inglés intermedio (entorno multinacional)

✨ Qué te ofrecemos
• Proyecto en empresa con presencia internacional consolidada
• Modelo híbrido — flexibilidad horaria
• Salario competitivo + bonus
• Beneficios: seguro médico, retribución flexible
• Plan formación continua
• Equipo dinámico y entorno colaborativo]]></description>
    <salary><![CDATA[45000-60000 EUR/year]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[SAP HCM]]></category>
    <remotetype>Hybrid</remotetype>
    <skills><![CDATA[SAP HCM]]></skills>
    <expirationdate>2026-06-26T16:26:08.993Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Consultor/a SAP HCM — Tiempos | Freelance o Permanente]]></title>
    <date>2026-04-27T16:26:08.990Z</date>
    <referencenumber>va3aa92a3baceb59e941eb7443e5686493</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/consultor-sap-hcm-tiempos-freelance-permanente-madrid</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Madrid]]></city>
    <country>ES</country>
    <description><![CDATA[🚀 Consultor/a SAP HCM – Tiempos | Freelance o Permanente | Madrid

Buscamos un Consultor SAP HCM con experiencia en el módulo de Tiempos (PT) para incorporarse a proyecto en cliente final. Posición flexible — abierta a perfiles freelance o contratación permanente según preferencia.

🎯 Qué harás
• Configuración y mantenimiento del módulo SAP Time Management (PT)
• Diseño de esquemas de tiempos, tipos de hora y reglas de cálculo
• Gestión de calendarios laborales, turnos, ausencias y permisos
• Integración Tiempos con Nómina y otros módulos HCM
• Atención de incidencias y evolutivos en tiempos
• Documentación funcional y formación a key users

🧠 Qué buscamos
• 3+ años de experiencia en SAP HCM Time Management (PT)
• Conocimiento de esquemas, reglas y operadores de tiempo
• Experiencia con CATS, ESS/MSS y portal time entry (deseable)
• Capacidad de análisis funcional y traducción a configuración SAP
• Castellano nativo

✨ Qué te ofrecemos
• Modalidad flexible: freelance (factura) o permanente (contrato indefinido)
• Tarifa competitiva si freelance / salario competitivo si permanente
• Modelo híbrido o remoto
• Proyecto en cliente final estable
• Equipo experimentado SAP HCM
• Posibilidad de combinar con otros proyectos]]></description>
    <salary><![CDATA[45000-65000 EUR/year]]></salary>
    <jobtype>contract</jobtype>
    <category><![CDATA[SAP HCM]]></category>
    <remotetype>Hybrid</remotetype>
    <skills><![CDATA[SAP HCM, Operators, Functional Analysis]]></skills>
    <expirationdate>2026-06-26T16:26:08.990Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Consultor/a SAP HCM — Nómina Española (Mantenimientos / Evolutivos)]]></title>
    <date>2026-04-27T16:26:08.987Z</date>
    <referencenumber>va811aeea04e61f5a871d5257e8e5b64dd</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/consultor-sap-hcm-nomina-espanola-mantenimientos-madrid</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Madrid]]></city>
    <country>ES</country>
    <description><![CDATA[🚀 Consultor/a SAP HCM – Nómina Española | Madrid | Mantenimientos & Evolutivos

Buscamos un Consultor SAP HCM con experiencia consolidada en Nómina Española para incorporarse a equipo dedicado a mantenimiento y evolutivos en cliente final. Posición ideal para profesionales que buscan estabilidad en proyectos consolidados.

🎯 Qué harás
• Mantenimiento y soporte funcional de SAP HCM Payroll España
• Atención de incidencias y resolución de errores en el ciclo de nómina
• Configuración de evolutivos: nuevos conceptos, regulaciones, convenios colectivos
• Adaptación a cambios legales y normativos (Real Decretos, Convenios, IRPF, Seguridad Social)
• Gestión de cierres mensuales y anuales (renta, retenciones)
• Documentación funcional y soporte a usuario clave

🧠 Qué buscamos
• 3+ años de experiencia en SAP HCM Payroll España
• Conocimiento profundo de esquemas y reglas de cálculo nómina española
• Experiencia con conceptos como IRPF, Seguridad Social, finiquitos, anticipos
• Dominio de Infotipos y customizing de payroll
• Capacidad para trabajar de forma autónoma en mantenimiento y evolutivos
• Castellano nativo o avanzado

✨ Qué te ofrecemos
• Proyecto consolidado con cliente final estable
• Modelo híbrido o remoto según preferencia
• Posición de continuidad — sin proyectos de implantación intensivos
• Equipo experimentado y soporte funcional
• Salario fijo + variable
• Beneficios sociales (seguro médico, ticket restaurante)]]></description>
    <salary><![CDATA[40000-55000 EUR/year]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[SAP HCM]]></category>
    <remotetype>Hybrid</remotetype>
    <skills><![CDATA[SAP HCM]]></skills>
    <expirationdate>2026-06-26T16:26:08.987Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Consultor/a SAP SuccessFactors Senior — Experto Employee Central]]></title>
    <date>2026-04-27T16:26:08.966Z</date>
    <referencenumber>va10e11b11cf79def8012f2fb235b9979e</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/consultor-sap-successfactors-senior-employee-central-madrid</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Madrid]]></city>
    <country>ES</country>
    <description><![CDATA[🚀 Consultor/a SAP SuccessFactors Senior – Experto Employee Central | Madrid

Buscamos un Consultor SAP SuccessFactors Senior con profunda experiencia en el módulo Employee Central para liderar la implementación y evolución de soluciones HR Cloud en proyectos internacionales de gran envergadura.

🎯 Qué harás
• Liderar la implementación de SAP SuccessFactors Employee Central end-to-end
• Diseñar arquitecturas SF EC integradas con SAP HCM, payroll y módulos talent
• Configurar Foundation Objects, MDF, Workflows, RBP y Position Management
• Gestionar integraciones EC con otros módulos SF (Recruiting, Onboarding, LMS, Comp)
• Asesorar al cliente en best practices y diseño funcional
• Coordinar con consultores funcionales y técnicos durante todo el ciclo de proyecto
• Soporte y evolución post go-live

🧠 Qué buscamos
• 5+ años de experiencia en SAP SuccessFactors Employee Central
• Certificación SuccessFactors EC vigente (deseable)
• Sólido dominio de Foundation Objects, MDF, Business Rules, Workflows, RBP
• Experiencia en integraciones EC con SAP HCM on-premise y otros módulos SF
• Conocimiento de procesos HR end-to-end
• Experiencia liderando workshops con cliente y stakeholders
• Inglés nivel alto (proyectos internacionales)
• Disponibilidad para viajes puntuales

✨ Qué te ofrecemos
• Proyectos internacionales de alto impacto
• Modelo híbrido — 2-3 días remoto / semana
• Plan de carrera técnico y/o funcional
• Formación continua y certificaciones SAP/SuccessFactors
• Salario competitivo según experiencia
• Bonos por proyecto y objetivos
• Cultura colaborativa y dinámica]]></description>
    <salary><![CDATA[60000-80000 EUR/year]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[SAP SuccessFactors]]></category>
    <remotetype>Hybrid</remotetype>
    <skills><![CDATA[SAP SuccessFactors, Cloud, SAP SuccessFactors Employee Central, SAP HCM, SuccessFactors]]></skills>
    <expirationdate>2026-06-26T16:26:08.966Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Machine Learning Engineer - Personalization]]></title>
    <date>2026-04-27T16:06:23.383Z</date>
    <referencenumber>cmpgigmy602hiv2xqfkattu0f</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/machine-learning-engineer-personalization-21e46516</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix.

Our team’s mission is to bring emerging search and agentic experiences to a mature state: exploring, defining, building, validating and optimizing new ideas. These can include new content types in our Search engine or emerging user interaction patterns.

What You'll Do 

Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development.

Lead collaborations and align across Personalization to integrate and A/B test mid-term signals in various recommendation systems.

Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.

Who You Are 

You have a background in machine learning, enjoy applying theory to develop real-world applications, with experience in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes.

You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders.

You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.

You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS.

You care about agile software processes, data-driven development, reliability, and disciplined experimentation.

Where You'll Be 
We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.

This team operates within the Eastern Standard time zone for collaboration.

The United States base range for this position is $170,000 - $212,000 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Machine Learning, ML Systems, Generative AI, Java, Scala, Python, Apache Spark, Cloud, GCP, AWS]]></skills>
    <expirationdate>2026-06-26T16:06:23.383Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Platform Engineer - Multicloud]]></title>
    <date>2026-04-27T08:35:06.923Z</date>
    <referencenumber>cmpgih6df03mov2xqly0ag4rp</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/platform-engineer-multicloud-8a11c764</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About SupabaseSupabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

About the RoleWe’re looking for a Platform Engineer to join our Compute Team and help us build cloud-portable infrastructure. You’ll work closely with product and our infrastructure teams to audit our current platform for cloud-specific dependencies, design for portability, and help build the foundation that will allow us to run workloads across multiple cloud environments or colocated infrastructure.

This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions.

What You’ll Be Responsible forAudit existing infrastructure components to identify cloud-specific dependencies and build a structured, actionable migration backlog

Design and implement cloud-agnostic abstractions over compute, networking, and storage layers

Maintain and evolve our Kubernetes-based workload orchestration to run portably across cloud environments

Collaborate with platform and product engineering teams to ensure new work is built with multi-cloud portability in mind from the start

Contribute to architecture decisions around target cloud environments and colocated infrastructure options

You Might Be a Good Fit If YouHave 8+ years of experience in platform or infrastructure engineering

Have experience working with multi-cloud environments at scale

Are experienced with Kubernetes and comfortable running it across multiple environments (AWS, GCP, and Azure)

Have worked with Pulumi or similar infrastructure-as-code tooling

Have been through at least one cloud abstraction, portability, or re-platforming initiative

Communicate clearly across both technical and non-technical audiences

Have experience in async or globally distributed teams

Are energized by solving real-world problems for developers

Are comfortable navigating ambiguity and moving quickly

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Hiring ProcessWe keep things simple, async-friendly, and respectful of your time:

Apply – Our team will review your application.

Intro Call – A short video chat to get to know each other.

Interviews – Up to four calls with:

Team Leads

Future teammates

Someone cross-functional from product, growth, or engineering (depending on the role)

Someone from our leadership/founding team

Decision – We may follow up with a final question or go straight to offer.

All communication is remote and we aim to move fast.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Vector Search, Cloud, Kubernetes, AWS, GCP, Azure]]></skills>
    <expirationdate>2026-06-26T08:35:06.923Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Inference - Performance Optimization]]></title>
    <date>2026-04-25T02:24:38.573Z</date>
    <referencenumber>cmpgih2ch03dyv2xqyq8am83b</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-inference-performance-optimization-f1e9b01b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team
Our team analyzes inference stack performance across the application, model, and fleet layers to identify bottlenecks and drive faster, cheaper inference. We combine systems profiling, benchmarking, and analysis to understand where time and cost are spent, then turn that understanding into performance optimizations and models that project performance and capacity needs for future launches.

About the Role
In this role, you will model inference performance across application, model, and fleet layers with higher fidelity. You will build cost-to-serve estimates from microbenchmarks and create tools that help cross-functional teams reason about latency, capacity, utilization, and cost tradeoffs.

In this role, you will:

Build and refine performance models that translate microbenchmark results into cost-to-serve estimates.

Analyze inference workloads end to end across applications, models, and fleet infrastructure.

Enhance tooling to identify bottlenecks across layers for latency and throughput.

Partner with other teams to turn performance insights into concrete improvements and project how future changes affect inference.

You might thrive in this role if you:

Enjoy reasoning from first principles about distributed systems, model inference, and hardware efficiency.

Are comfortable working across abstraction layers, from application behavior to kernels, accelerators, networking, and fleet scheduling.

Have deep expertise with performance profiling, benchmarking, analysis, and optimization.

Enjoy collaborating with engineering and research teams to improve real production systems.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Distributed Systems]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Distributed Systems]]></skills>
    <expirationdate>2026-06-24T02:24:38.573Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Machine Learning Engineering Manager - Personalization]]></title>
    <date>2026-04-24T19:43:21.788Z</date>
    <referencenumber>cmpgigmzg02hsv2xqcoywh0d5</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/machine-learning-engineering-manager-personalization-7ae010b6</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[Mission Statement
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
 
About the Team
Safe-and-Sound is the centralized Safety team within the AI Foundations Studio in Personalization. We build machine learning systems that help ensure Spotify experiences and recommendations are safe, responsible, and enjoyable across core surfaces like Home, Search, as well as newer generative AI experiences.
 
We partner closely with Tech Research, Trust &amp; Safety, and Content Platform to develop new approaches in areas like synthetic data, fairness, and responsible AI. Our focus is on building scalable, high-impact systems that support both today’s products and the next generation of AI-driven experiences.

What You'll Do

Design, build, and improve machine learning systems that power safety across personalization surfaces such as recommendations, search, and emerging AI experiences
Contribute to the platformization of safety systems, enabling scalable and reusable solutions across teams
Develop and operate high-throughput, low-latency backend services powered by ML models
Partner with Product, Trust &amp; Safety, and Content Platform to translate safety needs into practical technical solutions
Work on both traditional ML models and generative AI systems, including integrating third-party and in-house foundational models
Contribute to evaluation frameworks, including labeling strategies, ground truth creation, and model validation approaches
Collaborate with foundational model teams to embed safety into LLM-based and agent-driven experiences
Use metrics and experimentation to continuously improve system performance, safety outcomes, and user experience

Who You Are

You are experienced in building and deploying machine learning systems in production environments
You have hands-on experience with both traditional ML approaches and newer generative AI techniques
You have worked with scalable backend systems that require reliability, low latency, and high availability
You understand how to apply ML solutions to real-world product challenges, ideally in consumer-facing products
You have experience with model evaluation approaches such as labeling workflows, red-teaming, or ground truth data generation
You are comfortable working across disciplines, collaborating with product managers, researchers, and policy partners
You care deeply about building safe, responsible, and inclusive user experiences
You bring a thoughtful, metrics-driven approach to problem solving and decision-making

Where You'll Be

This role is based in New York or Boston
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home

The United States base range for this position is $184,050 – $262,928 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Machine Learning, Generative AI]]></skills>
    <expirationdate>2026-06-23T19:43:21.788Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Developer Marketing]]></title>
    <date>2026-04-24T17:19:09.037Z</date>
    <referencenumber>cmpgih5j903lcv2xqzjjc3bvk</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/developer-marketing-ce9f2da3</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Europe]]></city>
    <country>ES</country>
    <description><![CDATA[At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. 

Founded in 2019, Linear has become the platform of choice for more than 25,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America and Europe, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.

Linear is becoming a much broader product than people realize. With agents, mobile workflows, and new modalities, there’s a growing gap between what Linear can do and what people think it can do. This role exists to close that gap.

We’re looking for someone who will live inside the product, discover what’s possible, and show the world. That means figuring out the most compelling use cases for Linear’s AI agent, demonstrating real workflows that teams can adopt, and getting those stories out through whatever format works best, whether that’s a tweet, a video, a blog post, or a live demo at a conference. The goal is to help people understand what they can actually do with Linear and make that feel concrete and exciting.

Think of it as a product-obsessed marketer who is genuinely technical and knows how to communicate with depth.

Location &amp; work mode

Linear is a remote-first company. This role is open to candidates based in the US and Europe. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.

What you’ll do

Deeply understand Linear’s product, especially our AI agent and newer capabilities, and continuously discover productive, real-world use cases that teams would care about

Create content that demonstrates those use cases, whether that’s short-form social, blog posts, video walkthroughs, or live demos. Format follows the story, not the other way around

Build relationships with engineering and product-focused creators and collaborate on content that feels authentic rather than sponsored

Work with our video team to produce technical product content that comes across with genuine depth

Partner with support, sales, and product on developer-facing documentation and educational content

Stay plugged into the conversations happening on X, in newsletters, and at events, and make sure Linear has a voice in the ones that matter

What we’re looking for

Someone technical. You get code, understand how software gets built, and can talk about it credibly

Deep product intuition. You’re the kind of person who picks up a tool and immediately starts exploring what’s possible. You think in workflows and use cases rather than features

Comfortable on camera and on stage. You can demo a product, record a walkthrough, or speak at a conference without it feeling forced.

Twitter/X smart. You know how to use the platform, you understand what’s interesting to the people we’re trying to reach, and you can participate in the conversation with credibility

Curious and self-directed. You’re already finding the next interesting thing to talk about on your own, already following the right people and noticing the opportunities

Able to create video content end to end. You should be able to script, record, and edit a product walkthrough or demo without needing to hand it off to someone else

What we offer

We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:

Competitive salary and equity

Employee-friendly equity terms including early exercise in the US and extended exercise windows

Daily meal and coffee stipend on every workday

Paid co-working space or desk

Health coverage (based on country requirements)

5 weeks paid vacation, plus local statutory holidays

4 months paid parental leave

Paid month off after 4 years &amp; every 2 years thereafter

Regular team events and off-sites

Remote-first with no required commute

Learn how we think and work

A story about our mission: Read Me

Our hiring process: How we hire at Linear

How we work: Designing remote work at Linear

Our CEO and co-founder, Karri at 20VC: How to Grow Capital Efficiently in a World of BS Growth

Make an Org Chart You Want to Ship — Advice from Linear on How Heirloom Tomatoes Should Inspire Team Design

Building our teams: Why and how we do work trials at Linear

A video series: Conversations on Quality

Read about our recent Series C Fundraise and Giving our team liquidity

Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Linear]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Linear, Workday, Notion]]></skills>
    <expirationdate>2026-06-23T17:19:09.037Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Program Manager, Partner Operations]]></title>
    <date>2026-04-24T16:25:59.457Z</date>
    <referencenumber>cmpgih22403buv2xqpwe1jrlr</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/program-manager-partner-operations-fdc0ef51</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI's Research Team is at the forefront of AI research, pushing the limits of what AI can achieve. Our team is dedicated to developing advanced AI systems that are powerful, safe, and beneficial for everyone.

About the Role

The Research IP Partnerships team is hiring a Partnership Operations team member to help execute and improve the operational workflows behind our external research partnerships.

In this role, you will work on high-priority, ambiguous problems at the intersection of research, partnership, and applied engineering. You will manage complex processes, track key deliverables, support partner-facing requests, and improve how the team operates at scale. This role is well suited for someone who is highly organized, detail-oriented, action-oriented, and comfortable operating in a fast-paced environment with evolving requirements.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Support the execution of critical partner-facing operational workflows.

Build and improve processes, tools, and automations that increase team efficiency and reduce operational friction.

Manage day-to-day execution against partner commitments with strong attention to detail.

Deep dive into the critical drivers of operations and identifying opportunities for optimization and innovation.

Manage critical inquiries from both technical and non-technical partners.

You might thrive in this role if you:

Have experience in strategy &amp; operations, program management, consulting, investment banking, or a similar execution-focused role.

Have an engineering background or strong technical fluency, and are comfortable working closely with research and engineering teams.

Are fantastic at building cross-functional relationships and having empathy for the many roles involved in deploying research.

Are a great communicator across written, presentation, and visual forms.

Are engaged and curious about the rapidly evolving AI landscape.

Specific technologies / skills that will be helpful in this role

Experience with vibe coding tools, agentic models or OpenAI LLM APIs: e.g., Codex.

Project management tools: e.g., Jira.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[APIs]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[APIs, Codex, Project Management, Jira]]></skills>
    <expirationdate>2026-06-23T16:25:59.457Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Associate Client Partner - Emerging & Scaled (New Business, German Speaking)]]></title>
    <date>2026-04-24T15:05:41.126Z</date>
    <referencenumber>cmpgigmc602cwv2xqa99grgmq</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/associate-client-partner-emerging-scaled-new-business-german-speaking-65054eaa</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[Sell what you love. For us and millions of users across the globe, that’s Spotify. Join the Sales team and you’ll build the relationships that help grow our business in existing markets and beyond. We don’t just sell creative solutions to our clients and partners, we help to shape them; using our expert knowledge of ad products, sales channels and the industry to impact the way the world experiences music and podcasts. 

The Emerging &amp; Scaled team is focused on unlocking growth from new and growing advertisers across Spotify’s ads business. The New Business team brings first-time advertisers onto the platform and builds the foundation for long-term partnerships. Germany is a key market within our Northern Europe E&amp;S organization. Based in London, you will partner closely with our existing German Client Partners and Sales leadership to build a dedicated New Business pipeline and expand Spotify’s advertiser base across Germany.

This role focuses on new business acquisition. You will source, qualify, and close net-new advertisers, building relationships from scratch and converting first-time buyers into long-term Spotify partners. Reporting to the Head of E&amp;S Europe, you will be part of a dedicated cross-market New Business team focused on net-new advertiser acquisition and revenue growth across Europe.

You’re motivated, proactive, and energized by building new relationships.. Integrity and a healthy work-life balance are non-negotiable. You’ll shape how new advertisers discover Spotify and elevate their connection to our platform.

What You'll Do
•   New Business Acquisition: Own a portfolio of prospective accounts across the German market, proactively identifying, qualifying, and converting net-new advertisers into active Spotify partners through proactive outbound prospecting.

•   Outreach &amp; Prospecting: Execute multi-channel outreach motions including account research, persona mapping, personalized email sequences, and LinkedIn engagement. Create and leverage mockups (audio, video, display) to drive responsiveness and first-time advertiser adoption.

•   Pipeline Management: Maintain a healthy pipeline with rigorous Salesforce hygiene, accurate forecasting, and consistent meeting cadence. Drive toward quarterly net-new revenue targets and advertiser onboarding milestones.

•   Client Activation: Close deals and onboard new advertisers, ensuring strong activation on Spotify Ads Manager and biddable channels. Monitor account performance after activation.

•   Collaboration &amp; Handoffs: Partner with existing accounts that are lapsed or dormant, and build new top-of-funnel pipeline opportunities. Collaborate with existing Client Partners to ensure smooth account transitions when accounts graduate beyond New Business thresholds.

•   Product Expertise: Develop deep expertise in Spotify’s ad products, formats, and buying channels. Stay ahead of product innovations and monitor marketplace shifts to continuously refine your prospecting approach.

•   Market Development: Build relationships with key agencies and holding companies in Germany to unlock new brand-direct and agency-led opportunities.

Who You Are
•   Hunter Mentality: You have 4+ years of experience in digital media sales minimum, ideally in a New Business or acquisition-focused role. You excel at cold outreach, account mapping, competitive research, and crafting personalized messaging that drives response.

•   Organized &amp; Self-Reliant: You independently manage a high-volume book of prospective accounts with confidence, prioritizing engagements with efficiency.

•   Articulate: You are an effective communicator, clearly articulating Spotify’s value proposition and understanding client business needs.

•   Intrinsically Motivated: You are driven by your own goals and always aim to beat your personal best. You thrive on building something new.

•   Commercially Driven: You thrive on exceeding targets and making a tangible impact. Experience in ad tech, programmatic, or audio advertising is a plus.

•   Team-Oriented: You believe in collaborative success, eager to learn from your peers and share your expertise.

•   Fluent German and English language, spoken and written, is required.

•   Please apply with a CV in English.

Where You'll Be

This role is based in London

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 2-3 times per week and are open to periodic travel across Germany for client meetings, events, and team collaboration. 

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us yo]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Outreach]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Outreach, Salesforce, Excel]]></skills>
    <expirationdate>2026-06-23T15:05:41.126Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Manager, Finance – IRL Ventures]]></title>
    <date>2026-04-24T14:41:43.746Z</date>
    <referencenumber>cmpgignft02l6v2xqad94nfq2</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-manager-finance-irl-ventures-6bace11e</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[Spotify is looking for a seasoned Senior Manager to join our Finance team to support the evaluation and potential operation of new in person experiences. As Spotify continues to evolve beyond digital streaming, we are exploring initiatives that bridge the gap between our platform’s global reach and the physical-world.

This is a "foundational" finance role responsible for building the investment models, unit economic frameworks, and operational governance for these new initiatives. You will partner with leadership and the business to produce scenario analysis and manage the financial lifecycle of infrastructure and operational investments.

What You'll Do

Modeling: Lead the development of multi-year financial models for capital-intensive projects, managing budgets and long-term recoupment cycles.
Unit Economics: partner with the business to determine the appropriate "Single Unit" P&amp;L framework. Analyze revenue drivers (including secondary monetization streams) and cost structures to ensure investments meet IRR and cash flow targets.
Strategic Investment Appraisal: Provide financial partnership scenario analysis.
Market Entry Analysis: Partner with the business to evaluate commercial structures, and regional economic variables to optimize potential roadmaps.
Performance Governance: Establish the reporting infrastructure for these new initiatives, translating operations into clear financial narratives for leadership.
Cross-Functional Partnership: Act as the primary finance lead for a diverse team of operators across Spotify.

Who You Are

Experienced Finance Professional: 6+ years in FP&amp;A, Corporate Development, or Investment Banking. Experience in industries with physical footprints (e.g., Real Estate, Hospitality, Retail, or Entertainment) is highly preferred.
Sophisticated Modeler: Can build dynamic models that handle complex variables like construction ramp-ups, negative working capital, and lease capitalization and distill models into key assumptions.
Trust builder: You have a "sharp eye for detail” along with the ability to influence senior stakeholders both in Finance and across Spotify through clear, data-driven narratives and investment cases.
Operational Mindset: You are comfortable navigating ambiguity and building processes from scratch in a fast-paced, flat organizational structure.
Systems familiarity: Comfortable automated reporting tools (Netsuite/Adaptive, Workday Financials) and an interest in leveraging AI to drive analytical throughput.

Where You'll Be

This role is based in New York, NY
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come into the office 2-3 days per week.
Working hours? We operate within the EST zone for collaboration.

The United States base range for this position is $152,981-$218,544 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, 23 paid days off, 13 paid flexible holidays.
 
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Operators]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Operators, NetSuite, Workday]]></skills>
    <expirationdate>2026-06-23T14:41:43.746Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Applied Research Engineer - Media Quality]]></title>
    <date>2026-04-24T14:00:36.004Z</date>
    <referencenumber>cmpgign5k02j2v2xqedwq9moc</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-applied-research-engineer-media-quality-7389c7e6</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

We are looking for a Senior Applied Research Engineer who brings deep research expertise and strong engineering skills across both audio and video. In this role, you will help advance how Spotify understands, evaluates, and improves media experiences across platforms. You’ll work across the full media pipeline—from backend processing such as ingestion, encoding, and delivery to frontend playback, buffering, and synchronization—solving product problems with research discipline: structured experiments, solid metrics, and evidence-based decisions, in a real production environment.

You’ll join a team working at the intersection of media quality, perception, and engineering. The team builds applied solutions that improve how audio and video experiences perform across Spotify. By turning deep technical understanding into scalable capabilities, they help ensure a consistent, high-quality experience for hundreds of millions of users across devices and platforms.

What You'll Do

Own research-to-production work across audio/video signal processing, perceptual quality, and media intelligence.

Partner with teams to integrate prototypes into production systems and decision-making across areas like music and video information retrieval and quality-aware processing.

Work across the full media pipeline, from encoding and delivery to playback, buffering, and synchronization.

Build evaluation frameworks and support media platform and codec decisions grounded in measurement.

Design perceptual studies, develop tooling that connects quality metrics to real user experience outcomes.

Collaborate with multi-functional teams, turning research insights into scalable capabilities used across Spotify.

Help improve how we evaluate and enhance media quality across the platform.

Drive high-impact initiatives from idea through to measurable outcomes.

Who You Are

You have 8+ years of experience in applied research and engineering in media technology, audio, or video.

You bring deep expertise in audio and/or video, with working knowledge across both domains.

You understand media systems end-to-end, from backend processing through to client-side playback.

You have strong foundations in signal processing and experience with perceptual quality or feature design.

You are comfortable working in Python and have experience with C++ or similar languages.

You have experience running perceptual evaluations or quality benchmarking.

You enjoy building systems that move from research into real-world impact.

You collaborate effectively across disciplines and communicate complex ideas clearly.

You are curious, pragmatic, and motivated by solving meaningful problems.

Where You'll Be
This role is based in London or Stockholm.
We offer you the  flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Python]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Python]]></skills>
    <expirationdate>2026-06-23T14:00:36.004Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Product Manager - Sharing & Social]]></title>
    <date>2026-04-24T12:28:26.329Z</date>
    <referencenumber>cmpgignh902lev2xq7shqklvw</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-product-manager-sharing-social-2c3a2cae</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Stockholm]]></city>
    <country>ES</country>
    <description><![CDATA[In the Experience Mission, we design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. On this team, our mission is to show up wherever people are being social — across the platforms, surfaces, and moments where they're already expressing themselves and connecting with others — and make it effortless to bring audio into those moments. That means being present in the feeds, messages, and communities where culture moves, giving listeners the tools to express who they are through what they hear, and creating the loops that turn shared content into a new connection, a new fan, or a new Spotify user.

About the team

The team sits within PPX and owns Spotify's sharing surfaces and off-platform social presence: from the core share sheet to partner integrations, social formats, and the growth loops that bring new listeners in. You'll work closely with platform partners, business development, feature-owning teams and cross-functional engineering and design teams. In this role, you’ll shape how Spotify shows up across the social platforms of today and the future. You’ll be the face of product across our social strategic partners, while owning end-to-end product execution.

What You'll Do

Own the end-to-end vision and roadmap for how Spotify content is shared, discovered, and amplified across platforms

Shape the strategy for sharing, from core sharing functionality to new social formats, collaborative features, and growth loops

Explore how emerging platforms and evolving user behaviors influence sharing, especially across Gen Z and global audiences

Identify opportunities to position Spotify at the intersection of audio and social culture through new product bets

Define clear success metrics to understand how sharing drives acquisition, engagement, and retention

Build strong relationships with external platform partners to unlock new integrations and experiences

Collaborate with Business Development and cross-functional teams to translate partnerships into meaningful product outcomes

Lead cross-functional teams across engineering, design, data, and research, creating clarity and momentum

Bring forward new ideas on how AI can enhance sharing experiences, from personalization to content creation

Who You Are

You have 5+ years of product management experience working on consumer-facing products at scale

You understand how content spreads online and have a strong perspective on social platforms and digital culture

You’ve worked with external partners or platform ecosystems and can translate those relationships into product impact

You build trust across teams and bring people together to move complex work forward

You’re comfortable using data to inform decisions, including experimentation and user behavior analysis

You communicate clearly and adapt your message depending on the audience

You have experience building or contributing to growth loops, sharing features, or social-driven products

You’re curious about how AI can shape future user experiences and are eager to explore its potential

Where You'll Be

We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions).
This team operates within the Central European and GMT time zone for collaboration.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Product Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Product Management]]></skills>
    <expirationdate>2026-06-23T12:28:26.329Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Director of Engineering, Experience]]></title>
    <date>2026-04-24T12:28:16.992Z</date>
    <referencenumber>cmpgigmmw02f2v2xqyxk6eqhu</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/director-of-engineering-experience-96722617</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Stockholm]]></city>
    <country>ES</country>
    <description><![CDATA[We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience Mission is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of users around the world, bringing the music, audio, and video they love to the devices, apps, and platforms they use every day.

This position sits at the heart of Spotify’s Content Platform, responsible for the systems that define, structure, and govern all content across the platform. Our mission is to provide a trusted, consistent source of truth so content can be reliably managed and reused across every Spotify experience. We build and operate the core systems and workflows that ensure content is accurate, complete, and available; from APIs and life cycle orchestration through to content quality and integrity.

As Spotify’s content ecosystem continues to grow in scale and complexity — across new formats, use cases, and regulatory environments — this domain plays a critical role in ensuring we scale intentionally while maintaining the trust and quality our users and creators expect.

We’re now seeking a Director of Engineering to lead this domain — shaping its technical direction, developing teams, and evolving the systems that underpin Spotify’s global content platform.

 
What You’ll Do

Lead and develop multiple engineering teams through engineering managers, supporting their growth and impact
Own and drive the technical strategy for a critical platform domain, aligning with broader company and platform goals
Enable teams across Spotify to build product experiences efficiently by improving the underlying catalog systems
Guide the evolution and modernization of complex, legacy systems into scalable, reliable architecture
Partner closely with product and cross-functional leaders to align priorities and drive execution
Improve system reliability and reduce operational friction in workflows that directly impact content availability
Identify and apply opportunities for automation and AI to improve data quality and engineering productivity
Build a strong, inclusive engineering culture where teams continuously improve how they work and deliver
Develop and execute a long-term roadmap balancing immediate priorities with strategic investments

 

Who You Are

You have experience leading engineering organizations through other leaders and scaling teams effectively
You have worked on complex, data-intensive systems where accuracy, consistency, and reliability at scale are critical
You are confident in system design and architectural decision-making in distributed systems
You are comfortable navigating ambiguity and making trade-offs in high-pressure, high-impact environments
You have experience evolving legacy systems and guiding long-term platform transformations
You influence effectively across engineering, product, and business stakeholders
You have experience leading distributed teams and creating alignment across locations
You communicate clearly and can explain complex technical topics to a range of audiences
You are curious about how AI and automation can improve systems and workflows, and apply that thinking pragmatically
You care about building inclusive, collaborative environments where teams can grow and do their best work

 

Where You'll Be

This role is based in Stockholm or London
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the applicatio]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[APIs]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[APIs, Distributed Systems]]></skills>
    <expirationdate>2026-06-23T12:28:16.992Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Science Manager, Music Recommendations]]></title>
    <date>2026-04-24T11:20:48.796Z</date>
    <referencenumber>cmpgigmjm02ecv2xqj47ml6i3</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/data-science-manager-music-recommendations-a38218ec</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[Spotify’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music, podcasting and audiobooks. Today, we are the world’s most popular audio streaming subscription service with a community of more than 700 million users. We are looking for an extraordinary Data Science Manager to join our Content Insights group and build the next frontier of analytics to support the strategic decision making for our Music Editorial teams, meaning the teams of music experts at Spotify who curate playlists and musical experiences.
What You'll Do

Act as a key partner to leaders in Spotify’s Music Vertical, with a focus on the Editorial function globally and recommendations of music content.

Manage a strong team of data scientists, aligning their expertise and professional growth with business needs via ongoing coaching and roadmap planning.

Conduct research yourself and craft compelling data storytelling to influence large investments at Spotify in the field of music recommendations

In particular, orient innovation at the intersection of human editorial and algorithmic recommendations in the age of AI. 

Upskill the data science function in your area with agentic AI, and develop the next layer of self-serve access to insights for your stakeholders 

Become a company-wide expert on music content and how it reaches listeners around the world.

Who You Are

7+ years of relevant experience performing data analysis or data science. In particular…

You are highly proficient in Python and SQL

You are well versed in AI tools for data science and insights, such as Claude Code

You have an expertise in building data visualizations and dashboards (e.g. Looker Studio, Tableau or other)

You have experience with A/B testing and statistical modeling

Experience managing a team is preferred. The role is opened to first time managers who have a proven experience mentoring others, leading large collaborative projects and coordinating with senior leaders. 

You are a confident communicator with acute design thinking, who can simplifie complex problems and  ground creative discussions in objective data. You have experience presenting to and influencing senior leadership.

You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is désirable 

You are passionate about music. Previous experience in creative industries is a preference, but not a hard requirement if you have a deep empathy for how the music art form is created and enjoyed

Where You'll Be
This role is based in New York, New York

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home
We ask that you come in 2-3 times per week

The United States base range for this position is $144,715 - $206,735, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Python]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Python, SQL, Claude Code, Looker]]></skills>
    <expirationdate>2026-06-23T11:20:48.796Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Partner AI Deployment Engineer - AWS]]></title>
    <date>2026-04-24T09:10:29.651Z</date>
    <referencenumber>cmpgih24p03cev2xqcyia165d</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/partner-ai-deployment-engineer-aws-102f0ad5</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[About the team

The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems.

As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI-powered solutions.

About the role

We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams).

This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments.

You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximise impact across a portfolio of high-priority opportunities.

This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.

Influence joint account strategy and technical direction for high-priority opportunities.

Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices.

Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem.

Complex Deal Leadership &amp; ExecutionLead technical strategy for large, ambiguous, and high-stakes enterprise engagements.

Guide customers from early ideation through architecture design, prototyping, and production deployment.

Act as a technical decision-maker and escalation point, de-risking complex implementations.

Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.

Solution Architecture &amp; Hands-On BuildingDesign and communicate end-to-end AI architectures leveraging OpenAI and AWS services.

Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.

Establish best practices for scalable, secure, and production-ready GenAI systems.

Ensure solutions are designed for repeatability, extensibility, and partner-led delivery.

Ecosystem Enablement &amp; ScaleEnable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).

Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.

Mentor and uplift partner technical teams, accelerating their path to self-sufficiency.

Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement.

Cross-Functional Leadership &amp; FeedbackPartner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution.

Act as a bridge between field and product, delivering high-signal insights to inform roadmap and prioritization.

Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function.

You’ll thrive in this role if you:

Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.

Operate as a technical leader and systems thinker, not just an individual contributor.

Balance hands-on building with strategic influence and scale.

Know when to go deep technically vs. enable others to execute.

Build trust quickly with engineers, architects, and executives alike.

Default to creating repeatable patterns, not one-off solutions.

Are comfortable owning ambiguous, high-visibility problem spaces.

Take a long-term, ecosystem-oriented view of impact.

Are motivated by driving customer and partner success at scale.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected cha]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[AWS]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[AWS, Generative AI, GenAI]]></skills>
    <expirationdate>2026-06-23T09:10:29.651Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Developer Marketing]]></title>
    <date>2026-04-24T03:30:24.628Z</date>
    <referencenumber>cmpgih5j103lav2xqxtukyvt7</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/developer-marketing-fd020e94</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[North America]]></city>
    <country>ES</country>
    <description><![CDATA[At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. 

Founded in 2019, Linear has become the platform of choice for more than 25,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America and Europe, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.

Linear is becoming a much broader product than people realize. With agents, mobile workflows, and new modalities, there’s a growing gap between what Linear can do and what people think it can do. This role exists to close that gap.

We’re looking for someone who will live inside the product, discover what’s possible, and show the world. That means figuring out the most compelling use cases for Linear’s AI agent, demonstrating real workflows that teams can adopt, and getting those stories out through whatever format works best, whether that’s a tweet, a video, a blog post, or a live demo at a conference. The goal is to help people understand what they can actually do with Linear and make that feel concrete and exciting.

Think of it as a product-obsessed marketer who is genuinely technical and knows how to communicate with depth.

Location &amp; work mode

Linear is a remote-first company. This role is open to candidates based in the US and Europe. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.

What you’ll do

Deeply understand Linear’s product, especially our AI agent and newer capabilities, and continuously discover productive, real-world use cases that teams would care about

Create content that demonstrates those use cases, whether that’s short-form social, blog posts, video walkthroughs, or live demos. Format follows the story, not the other way around

Build relationships with engineering and product-focused creators and collaborate on content that feels authentic rather than sponsored

Work with our video team to produce technical product content that comes across with genuine depth

Partner with support, sales, and product on developer-facing documentation and educational content

Stay plugged into the conversations happening on X, in newsletters, and at events, and make sure Linear has a voice in the ones that matter

What we’re looking for

Someone technical. You get code, understand how software gets built, and can talk about it credibly

Deep product intuition. You’re the kind of person who picks up a tool and immediately starts exploring what’s possible. You think in workflows and use cases rather than features

Comfortable on camera and on stage. You can demo a product, record a walkthrough, or speak at a conference without it feeling forced.

Twitter/X smart. You know how to use the platform, you understand what’s interesting to the people we’re trying to reach, and you can participate in the conversation with credibility

Curious and self-directed. You’re already finding the next interesting thing to talk about on your own, already following the right people and noticing the opportunities

Able to create video content end to end. You should be able to script, record, and edit a product walkthrough or demo without needing to hand it off to someone else

What we offer

We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:

Competitive salary and equity

Employee-friendly equity terms including early exercise in the US and extended exercise windows

Daily meal and coffee stipend on every workday

Paid co-working space or desk

Health coverage (based on country requirements)

5 weeks paid vacation, plus local statutory holidays

4 months paid parental leave

Paid month off after 4 years &amp; every 2 years thereafter

Regular team events and off-sites

Remote-first with no required commute

Learn how we think and work

A story about our mission: Read Me

Our hiring process: How we hire at Linear

How we work: Designing remote work at Linear

Our CEO and co-founder, Karri at 20VC: How to Grow Capital Efficiently in a World of BS Growth

Make an Org Chart You Want to Ship — Advice from Linear on How Heirloom Tomatoes Should Inspire Team Design

Building our teams: Why and how we do work trials at Linear

A video series: Conversations on Quality

Read about our recent Series C Fundraise and Giving our team liquidity

Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Linear]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Linear, Workday, Notion]]></skills>
    <expirationdate>2026-06-23T03:30:24.628Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Systems Engineer (Network / Storage / Systems)]]></title>
    <date>2026-04-24T03:29:43.221Z</date>
    <referencenumber>cmpgih26l03cqv2xqfjwtsbpm</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/systems-engineer-network-storage-systems-b1691f73</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Stargate team is responsible for building the physical and logical infrastructure that powers large-scale AI systems. We design and deliver next-generation compute environments that support frontier model training and inference across an expanding global footprint.

This work spans hardware systems, networking, storage, cluster operations, and vendor ecosystems—turning aggressive compute growth plans into scalable, reliable production environments.

About the Role

We are seeking a System Engineer (Network / Storage / Systems) to help architect, validate, and operationalize the core infrastructure systems that enable Stargate deployments.

In this role, you will work across networking, storage, system bring-up, hardware debugging, and cluster readiness. You will partner closely with hardware engineering, cluster software, infrastructure operations, and external vendors to ensure new systems are deployed efficiently and run reliably at scale.

This role is ideal for engineers who can operate across hardware and software boundaries, solve ambiguous technical problems, and drive complex systems into production.

This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.

Key Responsibilities

Own system engineering workstreams across one or more critical domains including networking, storage, system validation, or bring-up.

Design and improve top-of-network architectures spanning frontend, WAN, OOB, firewall, and adjacent infrastructure layers.

Drive logical network readiness including routing, configuration management, provisioning, and issue resolution.

Define storage architectures across in-rack, in-pod, cluster, and cloud tiers with focus on performance, lifecycle, and cost efficiency.

Evaluate vendor hardware and infrastructure proposals, providing technical feedback on architecture, reliability, and operational fit.

Lead system bring-up for new hardware platforms including imaging, provisioning, validation, and readiness for production deployment.

Debug complex system faults across firmware, NIC, GPU, server, and platform layers; drive root cause analysis with internal teams and external vendors.

Build tools and automation that improve lab operations, SKU onboarding, fleet readiness, and deployment velocity.

Partner with hardware, clusters, and operations teams to translate new compute platforms into stable production environments.

Establish repeatable engineering standards, operational processes, and readiness gates for future Stargate expansions.

Qualifications

7+ years of experience in systems engineering, infrastructure engineering, hardware platforms, or large-scale compute environments.

Strong technical depth in one or more areas: networking, storage systems, server platforms, firmware, Linux systems, or distributed infrastructure.

Experience bringing up new hardware systems or clusters in lab or production environments.

Experience debugging low-level hardware/software issues and driving cross-functional RCA efforts.

Familiarity with hyperscale infrastructure, AI clusters, HPC environments, or data center systems.

Experience working with OEM, ODM, JDM, or hardware vendors.

Strong scripting or software skills in Python, Go, Bash, or similar.

Ability to operate effectively in fast-moving environments with high ownership and evolving technical requirements.

Preferred Skills

Experience supporting GPU clusters or accelerator-based infrastructure at scale.

Familiarity with cluster management, provisioning, or fleet lifecycle tooling.

Experience with network automation, storage optimization, or systems observability.

Background working across both hardware and software engineering organizations.

Experience scaling greenfield infrastructure deployments or rapid expansion programs.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San F]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cloud, Linux, Python]]></skills>
    <expirationdate>2026-06-23T03:29:43.221Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Manager, Forward Deployed Engineering - Munich]]></title>
    <date>2026-04-23T22:14:17.349Z</date>
    <referencenumber>cmpgih0sw033ov2xq3exsd0p5</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/manager-forward-deployed-engineering-munich-e64fac06</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Munich]]></city>
    <country>DE</country>
    <description><![CDATA[About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the role
As an FDE manager, you’ll lead FDEs through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field.

You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment at scale. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be.

This role is based in Munich. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. This role also will require travel up to 25%.

In this role you will

Lead and grow a team of FDE delivering production systems with frontier models.

Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality.

Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community.

Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices.

Use judgement to distinguish what requires action and what does not.

Set a high bar for FDE performance and support each person’s growth through direct, actionable feedback.

Define how we staff and support field teams that can scale without added complexity.

You might thrive in this role if you

Bring 8+ years of engineering or technical delivery experience, including 2+ years managing high-performing FDE or customer-facing engineers.

Have led high-pressure technical projects from prototype to production.

Write and review production-grade code across frontend and backend using Javascript or Python.

Simplify complex work and make fast, sound decisions under pressure.

Elevate team performance through clarity, not process.

Operate with urgency in ambiguous or evolving environments.

Translate field experience into sharp, actionable feedback for Product and Research.

Build deep trust with your team by modeling calm, focus, and judgment when it matters most.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[JavaScript]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[JavaScript, Python]]></skills>
    <expirationdate>2026-06-22T22:14:17.349Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Manager, Forward Deployed Engineering - London]]></title>
    <date>2026-04-23T22:13:01.639Z</date>
    <referencenumber>cmpgih29803dav2xqxbx2qcaj</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/manager-forward-deployed-engineering-london-b01a4864</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the role
As an FDE manager, you’ll lead FDEs through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field.

You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment at scale. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be.

This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. This role also will require travel up to 25%.

In this role you will

Lead and grow a team of FDE delivering production systems with frontier models.

Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality.

Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community.

Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices.

Use judgement to distinguish what requires action and what does not.

Set a high bar for FDE performance and support each person’s growth through direct, actionable feedback.

Define how we staff and support field teams that can scale without added complexity.

You might thrive in this role if you

Bring 8+ years of engineering or technical delivery experience, including 2+ years managing high-performing FDE or customer-facing engineers.

Have led high-pressure technical projects from prototype to production.

Write and review production-grade code across frontend and backend using Javascript or Python.

Simplify complex work and make fast, sound decisions under pressure.

Elevate team performance through clarity, not process.

Operate with urgency in ambiguous or evolving environments.

Translate field experience into sharp, actionable feedback for Product and Research.

Build deep trust with your team by modeling calm, focus, and judgment when it matters most.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[JavaScript]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[JavaScript, Python]]></skills>
    <expirationdate>2026-06-22T22:13:01.639Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[GRC Program Manager, US Government Compliance]]></title>
    <date>2026-04-23T21:42:16.004Z</date>
    <referencenumber>cmpgih2aq03dkv2xq1qnaje8g</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/grc-program-manager-us-government-compliance-5a484639</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Washington]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

Governance, Risk, and Compliance (GRC) is foundational to Security delivering mission outcomes at OpenAI. We’re excited about building creative solutions to ambiguous security requirements and delivering new technologies to mission critical customers. The GRC team provides security and engineering expertise to ensure our customers’ most critical and stringent requirements are met. We are technical in what we build but are operational in how we do our work, and are committed to obtaining, expanding, and maintaining Authorizations to Operate (ATOs) for critical systems while fostering a collaborative and execution-driven culture.

About the Role

Our technologies support some of the most important and impactful work in the world, including our strategic and high-impact customers in the public sector. As a GRC Program Manager, you’ll play a pivotal role in achieving US government (USG) ATOs and compliance frameworks, including but not limited to FedRAMP and Department of War (DoW),for OpenAI products and support agency-specific ATOs for systems deployed in highly regulated and secure environments. You’ll work closely with engineers, internal stakeholders, and external assessors to design, document, and implement security controls that meet stringent compliance requirements. Your creativity and execution-focused approach will be critical in navigating complex challenges while maintaining the trust of our stakeholders.

We’re looking for people who bring:

Proven experience in obtaining and maintaining a FedRAMP ATO and agency specific ATOs in highly restricted environments, within government or regulated sectors.

A deep understanding of USG security frameworks and policies (e.g., NIST, RMF, FedRAMP).

Ability to communicate technical concepts to diverse audiences, including engineers and non-technical stakeholders.

Exceptional technical program management skills, with the ability to multitask and deliver large complex programs under pressure.

This role is based in Washington, DC. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Drive the ATO process for FedRAMP and across multiple government clients in restricted environments with minimal oversight.

Collaborate with engineering teams to interpret security requirements and implement controls that balance compliance with operational needs.

Create clear, concise, and technically accurate documentation, including System Security Plans (SSPs), risk assessments, and architecture diagrams.

Act as a subject matter expert during audits and assessments, representing the organization with credibility and expertise.

Continuously refine processes to improve the efficiency and quality of compliance efforts.

You might thrive in this role if you: 

An active US security clearance.

5+ years of compliance experience in positions involving information security, data security, or infrastructure or network security.

Familiarity with deployment models, including to cloud platforms (Azure, AWS) and the underlying infrastructure primitives (Kubernetes, Terraform).

Strong familiarity with core security concepts and technologies, such as authentication, encryption, vulnerability management, and audit logging.

The ability to work collaboratively and effectively in a cross-functional team environment.

Thrive in dynamic environments and can navigate ambiguity with ease.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employm]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[FedRAMP]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[FedRAMP, Cloud, Azure, AWS, Kubernetes, Terraform]]></skills>
    <expirationdate>2026-06-22T21:42:16.004Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior / Staff Product Designer]]></title>
    <date>2026-04-23T21:39:39.618Z</date>
    <referencenumber>cmpgih5i603l2v2xqqv82ehnt</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-staff-product-designer-dffa427c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[North America]]></city>
    <country>ES</country>
    <description><![CDATA[At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. 

Founded in 2019, Linear has become the platform of choice for more than 25,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America and Europe, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.

Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices.

For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end.

Location &amp; work mode

Linear is a remote-first company. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.

What you'll do

Pair closely with engineering and product to initiate and complete roadmap projects, no hand-offs

Spot opportunities to redesign or refine key screens and flows, as well as smaller quality issues and “paper cuts” as you use Linear

Create mockups, prototypes, and high-fidelity visuals to communicate ideas and describe their execution

Guide and inspire fellow designers through collaborative critique of work-in-progress

Use and improve our lightweight design system components

Help with hiring new teammates that can elevate our team and product

What we’re looking for

7+ years experience designing software

Courage to ask questions, experiment, and advocate for what you feel is right

Humility to accept feedback, adapt your thinking, and iterate toward the best solution

Experience with prototyping in Figma (and beyond with tools like AI, HTML/CSS, Origami)

Ability to distill problems and feedback, then design clear, focused solutions

Effective written and verbal communication skills — much of our work is async

What we offer

We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:

Competitive salary and equity

Employee-friendly equity terms including early exercise in the US and extended exercise windows

Daily meal and coffee stipend on every workday

Paid co-working space or desk

Health coverage (based on country requirements)

5 weeks paid vacation, plus local statutory holidays

4 months paid parental leave

Paid month off after 4 years &amp; every 2 years thereafter

Regular team events and off-sites

Remote-first with no required commute

Learn how we think and work

Part I and Part II of how we redesigned the Linear UI

Our hiring process: How we hire at Linear

Read me a story about our mission

Why and how we do work trials Linear blog post

How we structure our product teams talk by our Head of Product, Nan Yu, at Config 2024

Crafting quality that endures Config keynote by our Co-founder &amp; CEO, Karri Saarinen

Building for quality: Our Investment in Linear Accel Series B blog post

Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Linear]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Linear, Flows, Figma, HTML, Workday, Notion]]></skills>
    <expirationdate>2026-06-22T21:39:39.618Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Enterprise Product Manager - AI Solutions]]></title>
    <date>2026-04-23T18:41:54.877Z</date>
    <referencenumber>cmpgih27003cuv2xqk5nmq2tn</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/enterprise-product-manager-ai-solutions-ba07501a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe Enterprise Platform Technology team builds and operates the platforms and integrations that run the company’s core business workflows across Finance, People, Procurement and GTM. We deliver secure, scalable system connectivity and AI-native experiences that reduce manual work, strengthen controls, and improve operational reliability across the enterprise stack.

About the RoleAs an Enterprise Product Manager, AI Solutions, you will identify, shape, and scale AI-enabled products and workflows for core enterprise functions, with an initial emphasis on Finance. You will partner with Finance, Enterprise Platforms Engineering, People and other enterprise teams to translate operational pain points into practical AI solutions, from copilots and agentic workflows to data products and system automations.

This is an individual contributor role with broad cross-functional leadership: you will define the roadmap, prioritize high-impact use cases, run structured experiments, drive delivery across technical and non-technical teams, and measure adoption and business value. You will help turn fragmented tools, data, and processes into cohesive AI solutions that are secure, reliable, and usable in the real world.

You will work hands-on with leading ERP, HCM, CRM, planning, ticketing and data platforms (e.g., Oracle, Workday, Salesforce, Databricks, etc.), along with our own internal products and platforms, ensuring solutions are grounded in the realities of data quality, controls, governance, and operational ownership.

We’re looking for people who can move fluidly from understanding business process needs to defining product requirements and collaborating with internal product teams to improve solutions for our users.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:Identify and prioritize AI-driven opportunities to automate finance operations and adjacent enterprise workflows, enabling more efficient processes, better insights, and stronger execution.

Partner with stakeholders to understand current-state processes, pain points, data dependencies, risk constraints, and success metrics, then translate those into clear product requirements and prioritized roadmaps.

Define product requirements and develop lightweight prototypes to help guide engineering teams in building solutions that meet user needs.

Design and lead pilots for AI-enabled workflows, including agentic tools, workflow automation, and custom applications, with clear hypotheses, rollout criteria, and measurable outcomes.

Collaborate with Enterprise Platform Engineering and internal platform teams to adopt OpenAI technologies, such as Codex, as well as MCP-based actions and connectors that securely expose enterprise system capabilities to AI workflows.

Coordinate secure data onboarding and integration across systems such as Oracle, Workday, Salesforce, Anaplan, Databricks, and external vendor platforms, partnering with data owners, IT, Security, Legal, and Risk as needed.

Own delivery across technically and organizationally complex initiatives, aligning requirements, dependencies, and governance reviews, so teams can move from experimentation to scaled adoption.

Track adoption, quality, and business impact through dashboards, user feedback, and executive-ready updates, and use those signals to iterate on product direction and investment priorities.

Assist with other development efforts as needed.

You might thrive in this role if you:Have 8+ years of experience across product management, enterprise applications, business systems, or enterprise transformation, with a track record of driving technology-enabled business outcomes in complex environments.

Bring strong fluency in Finance processes and enterprise technology, with experience across areas such as quote-to-cash, revenue, billing, accounting, treasury, FP&amp;A, or adjacent finance domains.

Understand how enterprise platforms such as Oracle Fusion, Workday, Salesforce, Databricks, Anaplan, or similar systems fit together to support core business operations and data flows.

Have led the delivery of production AI, automation, or data products and naturally think about governance, failure modes, usability, and operational adoption.

Can structure ambiguous business problems, evaluate competing opportunities, and turn them into pragmatic roadmaps, pilot plans, and scaled implementations.

Are comfortable working across APIs, integrations, identity, data access patterns, and workflow orchestration, and can partner effectively with engineers, architects, and data teams.

Have strong judgment in enterprise environments and can challenge assumptions, identify product gaps, and provide actionable feedback to improve internal tools and platforms.

Are an exceptional communicator who can document decisions crisply, influence without authority, and present status, ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Oracle]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Oracle, Workday, Salesforce, Databricks, Codex, Anaplan, Product Management, Flows, APIs]]></skills>
    <expirationdate>2026-06-22T18:41:54.877Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Manager, Revenue Enablement]]></title>
    <date>2026-04-23T00:01:34.950Z</date>
    <referencenumber>cmpgih28303d2v2xqqryxlm8n</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-manager-revenue-enablement-d02f8658</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale its commercial offerings — overseeing billing operations, deal desk, revenue systems, and revenue accounting. We work cross-functionally with Product, Engineering, and Go-To-Market teams to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows.

About the Role

As OpenAI scales monetization across self-serve, enterprise, partnerships, ads, and emerging business models, we need a strong operator to represent Revenue requirements throughout product and systems development. This role will sit at the center of Finance, Revenue Operations, and Business Platform teams to ensure revenue capabilities are designed, tested, and launched in a scalable and controlled way.

This role  will serve as the business-side owner for Revenue requirements, translating accounting, operational, billing, reporting, and controls needs into actionable requirements across Business Platform and Transformation teams. This person will drive process design, launch readiness, UAT, and continuous improvement across quote-to-cash and revenue operations workflows.

This is an ideal role for someone who combines revenue domain expertise, operational judgment, structured problem solving, and strong cross-functional influence.

You’ll be responsible for:

Serve as Revenue's primary business representative for monetization, operational, and systems initiatives.

Define accounting, operational, billing, reporting, and controls requirements for new products and business models.

Translate Revenue Accounting, Billing Operations, Deal Desk, and Finance requirements into clear business requirements, process flows, and acceptance criteria.

Partner with Business Platform, Transformation, GTM Systems, Accounting, Tax, FP&amp;A, and Product teams to support new monetization models and operational changes.

Lead Revenue UAT planning, launch readiness reviews, and business signoff processes.

Design scalable operational processes and controls that reduce manual effort and improve accuracy.

Evaluate operational impacts, risks, and downstream process implications of product and systems changes.

Drive continuous improvement across quote-to-cash workflows, reporting, and data quality.

We’re looking for someone with:

8+ years in Revenue Operations, Revenue Accounting, Technical Revenue, Billing Operations, Deal Desk, Finance Transformation, or Business Operations. Experience supporting monetization, pricing, or quote-to-cash processes in a technology company.

Deep familiarity with quote-to-cash workflows (CRM, CPQ, billing, ERP, reporting).

Experience defining business requirements and partnering with systems teams to deliver solutions.

Strong stakeholder management and cross-functional leadership skills.

Strong understanding of operational controls, launch readiness, and process scalability.

Knowledge of ASC 606 and revenue-related controls.

Strong analytical, communication, and problem-solving skills.

Ability to operate independently in ambiguous, fast-moving environments.

Workplace &amp; Location

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to yo]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Flows]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Flows]]></skills>
    <expirationdate>2026-06-22T00:01:34.950Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Strategic Finance Generalist]]></title>
    <date>2026-04-22T23:46:07.495Z</date>
    <referencenumber>cmpgih27903cwv2xq0f45qmtk</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/strategic-finance-generalist-47d7c710</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Strategic Finance team provides financial insights and guidance to support the organization's long-term goals and strategies. We partner across the business to allocate and deploy our resources for the highest impact outcomes.

About the Role

We are hiring a Strategic Finance Generalist to help drive strategic decisions for OpenAI across a variety of areas, including board engagements, strategic &amp; commercial transactions, capital markets activities, and supporting OpenAI’s M&amp;A activities.

This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Support critical corporate finance processes, including Board reporting and evolving our long-term forecasting models to support decision-making around expansion and operational strategies.

Support strategic project work spanning transactions, capital markets activities, market research, new business model evaluations, and other business critical initiatives.

Create high-quality presentations for communicating OpenAI’s financial performance.

Distill our business and cost drivers into key metrics that underpin how we communicate financial performance, allocate resources, and plan for growth.

Identify areas of opportunity across our P&amp;L, cash flow and balance sheet.

Stay current on market trends and best-in-class financial performance benchmarks.

Working closely with our Accounting and Corporate Finance teams to build and evolve our financial reporting as well as finance team operations.

You might thrive in this role if you have:

8+ years of experience in strategic finance, corporate finance, investment banking, private equity, consulting, or another highly analytical role.

A strong ability to critically evaluate opportunities and risks in financials.

Expert modeling and analytical skills.

An exemplary ability to distill complex financial information into actionable insights.

Excellent communication skills and “story telling” ability when presenting data insights.

An understanding of business models and metrics that are relevant to OpenAI (i.e. B2B &amp; B2C subscription and consumption models).

Strong enthusiasm about technology and artificial intelligence.

Best-in-class attention to detail and unwavering commitment to accuracy.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-21T23:46:07.495Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[SOC Architect]]></title>
    <date>2026-04-22T21:45:12.867Z</date>
    <referencenumber>cmpgih29x03dev2xq6ia6vr50</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/soc-architect-f3d73ca5</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large scale optimization, active learning, among other topics.

The Scaling team builds robust and scalable software and hardware to support our research efforts. It also offers core development services for mission critical goals and applications. 

We’re expanding our team to work more closely with our partners on hardware optimization and co-design, and are looking for engineers who cut across the stack from at scale ML model/workload understanding through system architecture to microarchitecture. This team will be responsible for working with partners to optimize their hardware for our workloads from early concept stage through production.

About the Role

We are seeking an experienced SoC Architect to lead the definition and development of next-generation custom AI silicon for edge deployments. This role will be responsible for shaping the architecture of highly efficient, high-performance SoCs optimized for machine learning inference and on-device intelligence.

You will work cross-functionally with internal engineering teams and external ecosystem partners to translate product requirements into scalable silicon solutions, driving execution from concept through delivery.

In this role you will:

Define the architecture and technical roadmap for custom SoCs targeted for edge applications.

Drive system-level tradeoff analysis across compute, memory, interconnect, power, thermal, and cost constraints.

Architect energy-efficient ML compute subsystems optimized for inference workloads and real-world deployment environments.

Collaborate with internal hardware, software, systems, and product teams to align architecture with platform needs.

Partner with external silicon vendors, IP providers, and manufacturing partners to execute development plans.

Lead hardware/software co-design efforts to maximize performance per watt and end-to-end system efficiency.

Guide implementation teams through microarchitecture, RTL development, validation, and bring-up phases.

Operate effectively in agile development environments and help teams deliver against aggressive schedules and milestones.

You might thrive in this role if:

Proven experience defining and delivering complex SoC or ASIC architectures from concept to production.

Deep understanding of AI/ML accelerators, edge inference workloads, and energy-efficient compute design.

Strong knowledge of SoC subsystems including CPU/GPU/NPU architectures, memory hierarchies, interconnects, and power management.

Experience working with both internal engineering organizations and external strategic partners.

Ability to lead cross-functional teams in fast-paced, execution-driven environments.

Strong communication skills with the ability to influence technical direction across organizations.

Preferred Qualifications

Experience with edge AI devices, embedded systems, or consumer hardware platforms.

Background in performance modeling, silicon cost optimization, and workload-driven architecture.

Familiarity with advanced process nodes and modern semiconductor development flows.

To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Reinforcement Learning]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Reinforcement Learning, Machine Learning, Flows]]></skills>
    <expirationdate>2026-06-21T21:45:12.867Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Tech Lead - CLI & Local Experience]]></title>
    <date>2026-04-22T16:54:17.129Z</date>
    <referencenumber>cmpgih6d203mmv2xqd6ixs63u</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/tech-lead-cli-local-experience-d00aa12e</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About the roleSupabase CLI is how developers build locally - and for many of them, it's the first thing they touch after signing up. You'll be the technical anchor for the team that owns that experience: local development, the supabase CLI, IaC workflows, and the tooling that makes Supabase feel like a first-class part of any dev environment.

This is a pure engineering role. No people management - you're here to set the technical bar, drive architecture, and make the team faster and better through your work and judgment.

What you'll doSet and drive the technical direction for Supabase CLI and local development tooling across Windows, Linux, and macOS

Lead architecture decisions: write RFCs, build consensus, and move proposals to outcomes

Be the go-to person for hard problems: cross-platform edge cases, release engineering, backwards compatibility, performance

Work closely with the team lead and engineering leadership on roadmap tradeoffs providing the technical signal that informs prioritization

Ship consistently: this isn't a staff role that reviews PRs; you're expected to be a significant individual contributor

Actively develop the technical capabilities of the team through structured code review, pairing, design feedback, and setting a high bar others can grow toward

Serve as a technical mentor and reference point for engineers across the team, helping them navigate hard problems and build stronger engineering judgment

Engage with the open-source community around Supabase CLI: contributors, issues, feedback

What we're looking forStrong TypeScript - this will be a TypeScript codebase and you should be genuinely comfortable at depth

Deep cross-platform experience: filesystem, subprocess management, terminal handling, Windows/Linux/macOS quirks

Solid understanding of CLI distribution and packaging (Homebrew, npm, APT, Scoop, Chocolatey, etc.)

Track record building CLIs with great developer UX - intuitive structure, clear output, good error messaging

Experience making and defending architectural decisions in a collaborative, async environment

A genuine interest in developing other engineers - you take satisfaction in making the people around you better, not just shipping your own work

Familiarity with agentic workflows and designing for agent use cases - the CLI needs to be seamless for agents, not just humans

High autonomy - you don't need a lot of direction to go deep and ship

Nice to haveGo experience: helpful for navigating and understanding prior versions of the CLI codebase

Familiarity with Effect - the functional TypeScript library the CLI repo is now built on

Contributions to popular CLI tools or open-source dev tooling (Docker CLI, kubectl, gh, Terraform, Vercel CLI, etc.)

Experience with containerization and local orchestration (Docker, k8s)

Familiarity with Postgres, database migrations, and the Supabase local stack

Experience with IaC or config-as-code workflows

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Hiring ProcessWe keep things simple, async-friendly, and respectful of your time:

Apply – Our team will review your application.

Intro Call – A short video chat to get to know each other.

Interviews – Up to four calls with:

Team Leads

Future teammates

Someone cross-functional from product, growth, or engineering (depending on the role)

Someone from our leadership/founding team

Decision – We may follow up with a final ques]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Linux]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Linux, TypeScript, Docker, Terraform, Postgres]]></skills>
    <expirationdate>2026-06-21T16:54:17.129Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Backend Engineer- Release]]></title>
    <date>2026-04-22T15:10:26.133Z</date>
    <referencenumber>cmpgigmf902div2xqlzmz9qhr</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/backend-engineer-release-48915622</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
You will join the Release squad within our Client Platform Studio in the Platform mission. This team builds the tools, systems, and workflows that enable Spotify engineers to release software safely, quickly, and with confidence.

We focus on reliability, developer productivity, and standardization—powering the invisible machinery behind Spotify’s engineering experience. You’ll work on internal platforms that impact thousands of engineers and directly shape how software gets delivered at scale.

What You'll Do

Build and maintain backend services and tooling that power Spotify’s release coordination workflows
Work on systems that manage release trains, rollout orchestration, and deployment state across services
Collaborate with Platform, Infrastructure, and SRE teams to ensure safe and predictable releases
Contribute to improving developer experience through scalable and reliable internal tooling
Participate in on-call rotations to support release tooling in production
Pair with experienced engineers to grow your technical skills and take on increasing ownership
Learn and contribute to Spotify’s release processes by working closely with Release Managers

Who You Are

You have 2+ years of experience building backend systems in a production environment
You are experienced with Java and comfortable working in backend service architectures
You understand distributed systems fundamentals and how to design reliable services
You have worked with or are interested in continuous integration and delivery practices
You are familiar with system design principles and building scalable backend systems
You collaborate effectively and value open feedback, learning, and shared ownership
You are comfortable working in agile teams and contributing to continuous improvement
You are interested in infrastructure, platform engineering, and developer tooling
You have experience with data pipelines or Scala (a plus, not required)

Where You'll Be

This role is based in London or Stockholm
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Java]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Java, Distributed Systems, Scala]]></skills>
    <expirationdate>2026-06-21T15:10:26.133Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Engineer- Mobile iOS Platform]]></title>
    <date>2026-04-22T08:31:09.229Z</date>
    <referencenumber>cmpgign9l02jwv2xqrdqwkdx6</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-engineer-mobile-ios-platform-8f35b34b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

At Spotify, we’re on a mission to unlock the potential of human creativity by connecting millions of listeners with the creators they love. Within the Client Platform Studio, the Synchrotron squad builds the architectural foundation that powers our mobile experiences.

As our mobile codebase continues to grow, we’re focused on keeping development efficient, scalable, and enjoyable for engineers across Spotify. This team enables developers to move fast by reducing complexity, improving system boundaries, and creating clear, reliable building blocks for application development.

What You'll Do
Work on evolving the architecture of Spotify’s mobile platform across iOS and shared systems
Design and implement strategies that allow systems to be developed and tested in isolation, reducing build complexity and interdependencies
Enable interoperability between iOS (Swift/Objective-C) and shared C++ codebases to improve maintainability and scalability
Build and maintain platform-level components that help teams reason clearly about application state and logic flow
Collaborate with teams across the Client Platform Studio to improve developer experience and system design
Use AI tools to explore solution spaces, validate architectural ideas, and prototype quickly to inform decisions
Define and track success metrics tied to developer productivity and system performance
Contribute to technical strategy, engineering standards, and long-term platform direction

Who You Are
You have strong experience in iOS development and exposure to C++, with interest in deepening your expertise across both
You have a solid understanding of software architecture, modularization, and scalable system design
You are familiar with service-oriented systems and lifecycle management
You care about improving developer experience and reducing cognitive load for other engineers
You communicate clearly and collaborate effectively with cross-functional teams
You are comfortable using AI tools to support exploration, research, and rapid prototyping
You take a product-oriented approach to platform work, connecting technical decisions to measurable outcomes

Where You Will Be

This role is based in London or Stockholm
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-21T08:31:09.229Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Deployment Engineer | Codex]]></title>
    <date>2026-04-22T07:57:27.997Z</date>
    <referencenumber>cmpgih2a503dgv2xqs1sv11l7</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-deployment-engineer-codex-ccc2842e</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[About the team

The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.

About the Role

We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.

This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.

In this role, you will:

Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.

Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.

Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.

Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.

Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.

Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.

Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.

Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.

You’ll thrive in this role if you:

Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.

Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.

Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.

Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.

Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.

Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.

Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.

Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, includi]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Codex, SDLC]]></skills>
    <expirationdate>2026-06-21T07:57:27.997Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Account Director, State and Local Government]]></title>
    <date>2026-04-22T06:52:06.105Z</date>
    <referencenumber>cmpgih0q40336v2xqx01o5zmz</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/account-director-state-and-local-government-b73d1012</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Washington]]></city>
    <country>ES</country>
    <description><![CDATA[About the team
OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our OpenAI for Government team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their organization. The team comprises Sales, Solutions, Support, Marketing, and Partnership professionals who collaborate to create valuable solutions that will help bring AI to as many users as possible.

About the role

Our OpenAI for Government team has a unique mission to help government customers understand the transformative impact that highly capable AI models can bring to their agencies and missions. This role combines technical understanding, strategic vision, partnership management, and value-driven strategy tailored specifically to state and local government customers.

You’ll drive key opportunities through the entire State and Local Government sales cycle, from pipeline generation to closure. You’ll collaborate closely with researchers, engineers, and solution strategists to help government customers advance their missions through AI.

This role is based in Washington DC, or San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you'll:

Manage a focused set of key state and local government accounts, developing and executing comprehensive state and local government account plans

Lead state and local government customers through their AI adoption journey, from consideration to successful deployment

Partner with solutions and research engineering to build and execute complex government customer programs and projects

Own and manage a state and local government consumption revenue target

Oversee consumption revenue forecasting and reporting

Analyze key state and local government account metrics and provide insights to internal and external stakeholders

Closely monitor the state and local government landscape (agencies, policies, competitors, partners, etc.) to inform product roadmaps and corporate strategies

Collaborate cross-functionally with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering

Support the recruitment and onboarding of state and local government-focused team members

Foster the development of our company culture within the state and local government practice

We're seeking someone with experience including:

10+ years selling platform-as-a-service and/or software-as-a-service specifically into state and local government accounts

Achieving state and local government revenue targets of &gt;$2M per year consistently over multiple years

Designing and executing complex federal deal strategies, including familiarity with government contracting and procurement processes

Supporting growth in fast-paced, high-performance state and local government environments

Working directly with senior government executives and state and local government agency leaders

Communicating technical and strategic concepts clearly to government customers and internal stakeholders

Leading high-visibility state and local government customer events, briefings, and industry engagements

Gathering, distilling, and processing detailed state and local government market intelligence (agency priorities, policy changes, competitor activities, etc.)

You might thrive in this role if you:

Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy.

Are customer-centric. You are motivated to deeply understand state and local government customers’ priorities and help them achieve their mission-critical objectives using AI. You build trusted relationships with government executives and stakeholders across agencies.

Have a passion or deep curiosity about artificial intelligence. You embrace the opportunity to help deploy OpenAI’s technology in a way that benefits state and local government missions and humanity. You’re enthusiastic about educating government customers on AI capabilities and strategic implications.

Are a builder. You enjoy impacting how our company grows its state and local government business. You excel in establishing robust systems and processes tailored to state and local government requirements, executing them with precision and agility.

Are excited by new challenges. You thrive when solving complex state and local government-specific problems. Bespoke challenges requiring multidimensional state and local government knowledge excite you, and you’re eager to experiment with innovative solutions within government environments.

Push the organization.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Product Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Product Management, Excel]]></skills>
    <expirationdate>2026-06-21T06:52:06.105Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Legal Counsel - Platform Liability]]></title>
    <date>2026-04-22T03:48:56.477Z</date>
    <referencenumber>cmpgigmwh02h2v2xq91afnisa</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/legal-counsel-platform-liability-52c4e20d</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[Spotify’s Legal team is growing. We’re facing innovative challenges that mirror the ground-breaking industry and product at the heart of our company. As we’ve expanded into more than 184 countries and our company has grown tremendously, we find ourselves facing new and interesting legal issues every day.

As Legal Counsel, Platform Liability &amp; Enforcement at Spotify, you will help supervise Spotify’s legal takedown practices and policies and you will provide legal support for the teams that develop, implement, and support Spotify’s content policies. You will also work directly to resolve claims related to these policies and help build out processes for scale. Your experience making risk-based assessments and proactively finding solutions to complex problems will be crucial.

What You'll Do
Advise on Spotify’s global compliance with platform liability frameworks and content safe harbor laws (e.g., Digital Services Act, DMCA, Section 230 of the Communications Decency Act)
Support managing Spotify’s legal takedown process, across content types, across all types of legal issues including intellectual property and speech-based offenses
Provide legal advice across Spotify on platform liability, including issue-spotting and strategizing solutions for exciting new products
Work with internal and external counsel and government affairs experts to track evolving legal requirements across the territories where Spotify operates
Counsel the teams responsible for building, managing, and implementing Spotify’s content policies, including the Trust &amp; Safety team and the Content Protection team
Work on proactive enforcement efforts regarding potential abuse of the Spotify platform
Provide legal support for litigations and press inquiries arising out of content takedown issues
Work with operations teams within and outside the legal team to develop efficient, scalable practices around legal takedown requests
Perform rotational work as business requires 

Who You Are
Law degree (or equivalent)
5+ years of experience working in a law firm and/or in-house legal department
Deep understanding of intermediary liability frameworks, with a preference for experience litigating cases involving intermediary liability
Proven expertise in copyright law and other content-related legal issues
Experience assessing and advising on a broad set of legal standards, even when those standards are new to you
Experience in partnering with global stakeholders
A passion for legal problems; you can explain legal concepts to non-lawyers
A problem solver who stays calm when problems come your way
A builder; you can work collaboratively (especially with non-lawyers) on finding practical, implementable tools and operational solutions
Self-motivated and can identify and complete work to be done without being instructed
A multi-tasker who can triage to make sure the right matters get your attention
You’re willing to really dig deep on projects
You work well as part of a team — both with other lawyers and with non-legal stakeholders

Where You'll Be
 This role is based in New York, New York
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home

The United States base range for this position is $170,366-$243,380 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, 23 paid days off, 13 paid flexible holidays.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-21T03:48:56.477Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[CPU Storage Tech Lead]]></title>
    <date>2026-04-21T23:54:58.114Z</date>
    <referencenumber>cmpgih25n03ckv2xqauy3pi9h</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/cpu-storage-tech-lead-b9712deb</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Stargate team is responsible for building the physical infrastructure that powers large-scale AI systems. We design and deliver next-generation data centers optimized for dense compute clusters, advanced networking, and rapidly evolving hardware platforms.

This work sits at the intersection of hardware engineering, systems architecture, and infrastructure execution—translating cutting-edge compute roadmaps into scalable, production-ready environments.

Our teams partner across silicon vendors, server and storage OEMs, networking teams, and data center engineering organizations to bring new capacity online quickly, reliably, and at global scale.

About the Role

We are seeking a CPU &amp; Storage Technical Lead to define and drive the server compute and storage architecture strategy for Stargate infrastructure.

In this role, you will own technical direction across CPU platforms, memory configurations, local and disaggregated storage systems, and their integration into large-scale AI clusters. You will evaluate vendor roadmaps, lead platform tradeoff decisions, and ensure compute and storage systems are optimized for training, inference, and supporting services.

You will work cross-functionally with hardware engineering, performance modeling, networking, supply chain, and deployment teams, as well as external partners such as AMD, Intel, OEMs, ODMs, and storage vendors.

This is a highly strategic role for someone who can operate deeply at the component level while also driving long-range infrastructure decisions.

Key Responsibilities

Own CPU and storage technical strategy for Stargate compute infrastructure across current and future generations.

Evaluate CPU platforms across performance, efficiency, memory bandwidth, PCIe topology, cost, and roadmap alignment.

Define storage architectures for AI environments, including boot media, local NVMe, shared storage, caching tiers, metadata services, and high-performance data pipelines.

Drive server platform decisions involving CPU, memory, NIC, GPU, and storage subsystem integration.

Partner with performance modeling teams to quantify tradeoffs across compute, memory, I/O, and storage bottlenecks.

Work with silicon and hardware vendors on roadmap influence, feature requests, qualification plans, and technical escalations.

Lead bring-up and validation efforts for new CPU and storage platforms in lab and production environments.

Partner with networking and cluster architecture teams to optimize end-to-end node design and data movement.

Support supply chain and sourcing teams with technical vendor assessments and second-source strategies.

Drive reliability, serviceability, and fleet lifecycle planning for compute and storage platforms.

Translate future AI workload requirements into infrastructure platform specifications.

Provide technical leadership across cross-functional stakeholders and executive reviews.

Qualifications

Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related technical field; advanced degree preferred.

10+ years of experience in server hardware, systems architecture, data center infrastructure, or hyperscale compute platforms.

Deep expertise in modern CPU architectures (x86, ARM, accelerator host systems) and server platform design.

Strong understanding of memory systems, PCIe/CXL fabrics, NUMA behavior, and platform-level performance constraints.

Experience with storage systems including NVMe, SSD qualification, RAID, distributed storage, object/file systems, or high-performance data pipelines.

Experience evaluating hardware tradeoffs across performance, cost, power, thermals, and supply availability.

Familiarity with GPU clusters and AI training/inference infrastructure strongly preferred.

Experience working directly with OEMs, ODMs, silicon vendors, or storage vendors.

Strong systems thinking with ability to connect component decisions to fleet-level outcomes.

Excellent communication skills with the ability to influence engineering and executive stakeholders.

Proven ability to operate in fast-moving, ambiguous environments with high ownership.

Preferred Skills

Experience designing infrastructure for large-scale AI or HPC environments.

Familiarity with CPU vendor roadmaps across AMD, Intel, and ARM ecosystems.

Experience with distributed storage architectures supporting GPU clusters.

Knowledge of fleet operations, hardware lifecycle management, and production deployments at scale.

Prior experience in hyperscale cloud, AI infrastructure, or advanced compute environments.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud]]></skills>
    <expirationdate>2026-06-20T23:54:58.114Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Token-as-a-Service Technical Program Manager]]></title>
    <date>2026-04-21T23:53:04.827Z</date>
    <referencenumber>cmpgih26s03csv2xqbxrkxv5s</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/token-as-a-service-technical-program-manager-75ae6d62</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Stargate and 3P Engineering teams are responsible for building and scaling the external infrastructure ecosystem that powers advanced AI systems. We work across hyperscalers, colocation providers, cloud partners, and strategic third-party operators to turn contracted capacity into production-ready compute.

Our scope spans the full lifecycle of external deployments: commercial alignment, technical readiness, network integration, hardware enablement, operational readiness, and long-range scaling strategy.

As OpenAI’s infrastructure footprint expands globally, we need leaders who can convert complex partner environments into reliable, high-velocity capacity for training and inference workloads.

About the Role

We are seeking a Technical Program Manager, Token-as-a-Service (TaaS) to lead delivery of external compute capacity that directly serves OpenAI model workloads.

In this role, you will own complex cross-functional programs that transform third-party infrastructure into usable tokens at scale. You will partner across engineering, capacity planning, networking, hardware, finance, product, and external providers to ensure that deployed capacity translates into real production throughput.

This role sits at the intersection of infrastructure execution, systems readiness, and business impact. Success requires strong technical fluency, elite program management, and the ability to drive accountability across internal teams and external partners.

This is a high-visibility role with direct impact on OpenAI’s ability to scale model training and inference globally.

This role is based in San Francisco, CA, with a hybrid work model of 3 days in office per week. Relocation assistance is available.

Key Responsibilities

Lead end-to-end delivery programs that convert external infrastructure capacity into production-ready token supply.

Own readiness across compute, storage, networking, security, and operational dependencies for third-party environments.

Build integrated plans across internal engineering teams and external partners with clear milestones, owners, risks, and critical paths.

Drive launch execution for new partner regions, clusters, and capacity expansions.

Create operating mechanisms that measure deployed capacity versus usable token output.

Identify bottlenecks preventing token generation (network constraints, hardware readiness, software enablement, partner delays, etc.) and drive resolution.

Coordinate with capacity planning and finance teams to prioritize the highest ROI capacity opportunities.

Establish executive-level reporting on delivery status, risks, and token ramp forecasts.

Improve repeatability of partner onboarding, technical integration, and scaling motions.

Manage escalations across internal and external stakeholders during high-severity delivery issues.

Translate ambiguous infrastructure constraints into clear execution plans.

Help define the long-term operating model for Token-as-a-Service across Stargate and 3P ecosystems.

Qualifications

8+ years of Technical Program Management, Engineering Program Management, or Infrastructure Delivery experience.

Experience leading large-scale technical programs involving cloud, data center, networking, hardware, or distributed systems.

Strong understanding of compute infrastructure, clusters, networking, storage, and production systems.

Proven ability to drive cross-functional execution across engineering, operations, finance, and external vendors.

Experience managing executive stakeholders and communicating complex tradeoffs clearly.

Strong analytical skills with ability to reason about utilization, throughput, capacity, and operational metrics.

Comfortable operating in ambiguous, fast-scaling environments.

Strong written and verbal communication skills.

High ownership mentality with bias toward action.

Experience working with external providers, strategic partners, or hyperscalers is highly preferred.

Preferred Skills

Experience with GPU clusters, AI infrastructure, or large-scale model serving environments.

Familiarity with token economics, inference capacity planning, or workload scheduling.

Experience scaling global infrastructure through third-party providers.

Background in systems engineering, networking, or hardware deployment programs.

Experience building new operational models in high-growth environments.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discrimin]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud, Operators, Distributed Systems]]></skills>
    <expirationdate>2026-06-20T23:53:04.827Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[CPU/Storage/PoP-WAN Program Manager]]></title>
    <date>2026-04-21T23:51:44.839Z</date>
    <referencenumber>cmpgih20503bgv2xq4ox5o5ol</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/cpu-storage-pop-wan-program-manager-edf17343</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Infrastructure organization builds the systems that power frontier AI workloads at global scale. As compute demand accelerates, our ability to rapidly convert infrastructure investments into usable production capacity has become mission critical.

The CPU / Storage / PoP / WAN team is responsible for the end-to-end infrastructure layers required to bring compute online: server and cluster activation, storage platforms, Points of Presence (PoPs), backbone connectivity, and global network expansion. We operate across first-party facilities, colocation environments, and strategic cloud partners to ensure OpenAI can scale reliably and quickly.

About the Role

We are seeking a highly technical Program Manager to lead execution across CPU, Storage, PoP, and WAN infrastructure programs that directly unlock OpenAI’s next generation compute capacity.

In this role, you will own complex cross-functional programs spanning compute cluster activation, storage deployment, PoP bring-up, and backbone expansion. You will coordinate hardware readiness, site readiness, network pathing, storage availability, vendor execution, and engineering dependencies required to turn contracted infrastructure into live training and inference capacity.

This role requires strong technical fluency across hardware systems, network infrastructure, storage architecture, and deployment execution. You should be comfortable operating from rack-level implementation details through executive-level capacity planning discussions.

This role is based in San Francisco, CA, with travel as needed.

Key Responsibilities

Lead end-to-end execution of CPU / GPU cluster activation programs across OpenAI’s global infrastructure footprint

Drive readiness to convert contracted compute capacity into schedulable production clusters

Own deployment programs for new PoPs, backbone nodes, WAN expansion, and interconnection initiatives

Build integrated schedules spanning procurement, logistics, installation, storage readiness, network turn-up, testing, and production handoff

Coordinate BOM readiness, server delivery, racks, optics, cabling, storage hardware, and vendor milestones

Partner with engineering teams to align compute, storage, and networking dependencies before cluster activation

Manage deployment of storage systems supporting training and inference workloads, including readiness, validation, performance checks, and scaling plans

Coordinate backbone capacity expansion, cross-connects, inter-region pathing, and cloud interconnect readiness with Azure and third-party providers

Lead physical deployment execution including rack-and-stack, hardware bring-up, L1 validation, and site acceptance criteria

Build repeatable deployment playbooks, dashboards, governance cadences, and operating mechanisms for scale

Identify risks early across supply chain, site readiness, technical constraints, and vendor execution, then drive mitigation plans

Communicate milestones, escalations, and capacity forecasts to senior leadership

Qualifications

8+ years of experience in technical program management, infrastructure deployment, network deployment, or data center operations

Strong experience delivering programs involving compute, storage, networking, or large-scale infrastructure systems

Working knowledge of servers, clusters, storage arrays, routers, switches, optics, and structured cabling

Experience owning cross-functional programs across engineering, operations, supply chain, and external vendors

Strong understanding of deployment lifecycles from planning and procurement through production handoff

Ability to reason across physical infrastructure execution and logical systems architecture dependencies

Proven ability to build integrated schedules and drive accountability across multiple stakeholders

Strong executive communication skills with experience managing critical escalations and leadership updates

Comfortable operating in fast-moving environments with aggressive timelines and evolving priorities

Highly analytical with strong problem-solving and execution instincts

Preferred Skills

Experience at a hyperscaler, cloud provider, AI infrastructure company, or global network operator

Experience deploying GPU clusters, HPC systems, or large training environments

Familiarity with distributed storage systems and high-performance data infrastructure

Experience with PoP deployments, WAN backbone expansion, or global network buildouts

Experience working across first-party, colo, and cloud environments

Experience building repeatable infrastructure deployment systems in high-growth environments

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud, Logistics, Azure]]></skills>
    <expirationdate>2026-06-20T23:51:44.839Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Partner AI Deployment Engineer - AWS]]></title>
    <date>2026-04-21T22:09:43.402Z</date>
    <referencenumber>cmpgih29n03dcv2xqf910k8q6</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/partner-ai-deployment-engineer-aws-9d9c3b64</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the team

The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems.

As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI-powered solutions.

About the role

We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams).

This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments.

You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Strategic AWS Engagement &amp; InfluenceServe as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.

Influence joint account strategy and technical direction for high-priority opportunities.

Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices.

Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem.

Complex Deal Leadership &amp; ExecutionLead technical strategy for large, ambiguous, and high-stakes enterprise engagements.

Guide customers from early ideation through architecture design, prototyping, and production deployment.

Act as a technical decision-maker and escalation point, de-risking complex implementations.

Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.

Solution Architecture &amp; Hands-On BuildingDesign and communicate end-to-end AI architectures leveraging OpenAI and AWS services.

Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.

Establish best practices for scalable, secure, and production-ready GenAI systems.

Ensure solutions are designed for repeatability, extensibility, and partner-led delivery.

Ecosystem Enablement &amp; ScaleEnable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).

Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.

Mentor and uplift partner technical teams, accelerating their path to self-sufficiency.

Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement.

Cross-Functional Leadership &amp; FeedbackPartner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution.

Act as a bridge between field and product, delivering high-signal insights to inform roadmap and prioritization.

Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function.

You’ll thrive in this role if you:

Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.

Operate as a technical leader and systems thinker, not just an individual contributor.

Balance hands-on building with strategic influence and scale.

Know when to go deep technically vs. enable others to execute.

Build trust quickly with engineers, architects, and executives alike.

Default to creating repeatable patterns, not one-off solutions.

Are comfortable owning ambiguous, high-visibility problem spaces.

Take a long-term, ecosystem-oriented view of impact.

Are motivated by driving customer and partner success at scale.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic i]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[AWS]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[AWS, Generative AI, GenAI]]></skills>
    <expirationdate>2026-06-20T22:09:43.402Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Forward Deployed Engineer - Singapore]]></title>
    <date>2026-04-21T22:08:40.179Z</date>
    <referencenumber>cmpgih28y03d8v2xqs2e6capr</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/forward-deployed-engineer-singapore-198884b4</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the role

Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.

You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.

This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected.

In this role you will

Own technical delivery across multiple deployments from first prototype to stable production.

Build full-stack systems that deliver customer value and sharpen how we learn.

Embed closely with customer teams, understand their needs, and guide adoption of what you build.

Scope work, sequence delivery, and remove blockers early.

Make trade-offs between scope, speed, and quality; adjust plans to protect delivery.

Contribute directly in the code when progress or clarity depends on it.

Codify working patterns into tools, playbooks, or building blocks that others can use.

Share field feedback that helps Research and Product understand where the models succeed and where they can improve.

Keep teams moving through clarity and follow-through.

You might thrive in this role if you

Bring 5+ years of engineering or technical deployment experience that includes customer-facing work.

Have scoped and delivered complex systems in fast-moving or ambiguous environments.

Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks.

Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience.

Simplify complexity and make fast, sound decisions under pressure.

Communicate clearly with engineers, product teams, and customer stakeholders.

Spot risks early and adjust without slowing down.

Model calm and judgment when the stakes are high.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Python]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Python, JavaScript, LLMs]]></skills>
    <expirationdate>2026-06-20T22:08:40.179Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Director, Compute & Infrastructure FP&A]]></title>
    <date>2026-04-21T18:58:23.197Z</date>
    <referencenumber>cmpgih27i03cyv2xqlqf9j1ui</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/director-compute-infrastructure-fp-a-db062105</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Role

As a Director, Compute &amp; Infrastructure FP&amp;A, you will own and drive the monthly forecasting process for the Compute &amp; Infrastructure org by partnering with various stakeholders across Finance, Accounting, Tax and Engineering.  You will play a critical role in planning and forecasting the company’s largest and most complex cost center ( Compute &amp; Infrastructure ).

You will collaborate cross-functionally to develop long-range infrastructure investment plans, evaluate build vs. buy decisions, and ensure capital is deployed efficiently to support rapid growth. You will also provide strategic financial guidance through scenario modeling, ROI analysis, and performance tracking, enabling leadership to make high-stakes decisions under uncertainty.

What You’ll Do

Own compute financial planning &amp; Forecasting.

Build and manage consolidation models for GPU/CPU capacity, storage, networking, and data center investments.

Translate infrastructure roadmaps into short- and long-term financial forecasts (LRP, annual planning)

Coordinate closely with Corporate FP&amp;A on timelines and process

Present insights on a monthly basis to senior management.

Drive infrastructure investment decisions.

Evaluate build vs. buy, vendor vs. owned infrastructure, and capacity allocation tradeoffs.

Develop frameworks for investment trade-offs to guide executive decision making.

Build scalable tooling &amp; reporting.

Implement stakeholder-facing dashboards to track compute spend, utilization, and efficiency metrics.

Improve visibility into unit economics (e.g., cost per training run, cost per inference, cost per customer).

Drive forecasting accuracy &amp; accountability.

Lead budget vs. actual analysis for compute and infrastructure spend.

Identify key cost drivers (utilization, pricing, efficiency gains) and reduce forecast variance.

Support close &amp; financial reporting.

Partner with Accounting to ensure accurate classification of infrastructure spend (OpEx vs CapEx).

Translate complex infrastructure costs into clear insights for leadership.

Enable strategic decision-making.

Build scenario models to support leadership decisions on capacity scaling, new model launches, and infrastructure investments.

Lead ad hoc analyses on emerging topics.

You Might Thrive in This Role If You Have

10+ years in strategic finance, with experience in infrastructure, cloud, hardware, or compute-intensive environments

2+ years in investment banking

Must have experience running an FP&amp;A team at the corporate level or business unit level with significant scale.

Strong financial modeling skills, particularly in capacity planning, unit economics, and scenario analysis under uncertainty.

Experience supporting large-scale infrastructure or cloud spend (e.g., AWS/GCP/Azure, GPUs, data centers).

Ability to translate technical concepts (compute usage, model training/inference, system architecture) into financial insights.

Proficiency in Excel/Sheets, SQL, and BI tools (e.g., Tableau); experience with planning systems like Anaplan is a plus.

Strong cross-functional partnership skills, especially with Engineering, Product, and Supply Chain.

Familiarity with AI/ML infrastructure cost drivers and the economics of training and serving models.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained the]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cloud, AWS, GCP, Azure, GPUs, Excel, SQL, Anaplan, ML Infrastructure]]></skills>
    <expirationdate>2026-06-20T18:58:23.197Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Strategic Finance, Compute]]></title>
    <date>2026-04-21T18:29:06.926Z</date>
    <referencenumber>cmpgigzm202uiv2xq4h0dyf2y</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/strategic-finance-compute-c283b80f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Compute &amp; Infrastructure Strategy team handles strategy and execution of OpenAI’s compute roadmap. This team’s key responsibilities span financial analysis &amp; reporting, capacity planning, commercial and business development, and strategic partnerships. We partner across the business to allocate and deploy our resources for the highest impact outcomes.

About the Role

Compute is a key lever for OpenAI and AI progress. We are seeking a Strategic Finance Compute Lead to provide finance leadership for our compute and infrastructure spend and play a significant role in shaping our long-term compute strategy. You will play a critical role developing financial models for all areas of compute, analyzing spend patterns, and providing critical insights to optimize and plan for our future compute needs. This role will be a key partner to our scaling and supercomputing engineering teams providing financial expertise and guidance to optimize our capacity investments and drive strategic decision-making, while collaborating with other members of the finance organization to align our compute strategy with broader financial considerations.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Own and develop  financial models across different elements of compute (GPUs, CPUs, storage and networking)

Lead strategic financial analysis for long-term capacity initiatives, working closely with scaling and supercomputing engineering teams

Maintain deep expertise on compute contract terms, pricing structures and optimization opportunities

Serve as a partner to FP&amp;A and strategic finance teams, aligning compute and infrastructure with broader financial and business strategies

Create high-quality Exec and Board-facing presentations

Stay abreast of market trends and competitive dynamics to inform and improve our infrastructure strategy

You might thrive in this role if you have:

5+ years of experience across strategic finance, private/growth equity, investment banking, strategy &amp; operations, and/or business development, with 3+ years of finance operating experience at a high-growth technology company

Technical undergraduate degree (e.g., Engineering, Computer Science, Electrical Engineering, or similar quantitative field) preferred

Experience partnering with engineering and product teams to provide financial analysis and insights for critical strategic decisions

Strong understanding of cloud technology, compute infrastructure, and technical cost drivers

Exceptionally strong analytical, financial modeling, and written/verbal communication skills

Demonstrated track record of thoughtful investment decisions and sound business judgment

Experience driving operational outcomes under ambitious deadlines

Exceptionally strong relationship-building skills with the ability to influence cross-functional stakeholders

Bachelor’s degree or equivalent practical experience

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and rela]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[GPUs]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[GPUs, Cloud]]></skills>
    <expirationdate>2026-06-20T18:29:06.926Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Success Engineer]]></title>
    <date>2026-04-21T16:11:43.949Z</date>
    <referencenumber>cmpgih26e03cov2xqhb884xfa</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-success-engineer-4c32d235</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Sydney]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organizations to translate cutting edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast growing digital natives to the largest global enterprises, government agencies and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the center of that mission.

About the Role

The Success Engineer role is the primary post-sales point of contact for a set of OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s platform.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

This role is based in Sydney, Australia.

In this role, you will:

Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization.

Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio.

Conduct technical enablement and configuration sessions across our broad product portfolio.

Identify and validate use cases by embedding with customer teams to understand workflows and pain points.

Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning.

Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities.

Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs.

Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross functional navigator who keeps teams aligned, informed, and moving toward customer outcomes.

Guide value realization and measure impact through baselines, KPI definition, and post deployment reporting.

Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement.

Help drive expansions by identifying high leverage opportunities where OpenAI’s platform can power new workflows or lines of business.

Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc..

You’ll thrive in this role if you:

8+ years of experience in technical customer facing roles such as technical account management, technical GenAI consulting, solutions architecture, technical delivery leadership, or deep technical enterprise SaaS adoption work.

Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.

Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies.

Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges.

Have excellent project and program management instincts and can lead multi workstream initiatives with clarity and structure.

Enjoy being a thought partner for C level stakeholders while also diving deep with technical teams.

Operate with high ownership and can manage fast decision making, context switching, and dynamic customer needs.

Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[GenAI]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[GenAI, APIs]]></skills>
    <expirationdate>2026-06-20T16:11:43.949Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Emerging Risks Analyst]]></title>
    <date>2026-04-21T04:36:36.771Z</date>
    <referencenumber>cmpgih0up0340v2xqru9lit6a</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-emerging-risks-analyst-f0096d76</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the teamThe Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem in close collaboration with our internal and external partners. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity.

The Strategic Intelligence &amp; Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors.

About the roleWe are looking for an AI emerging risks analyst to help us understand potential harms and misuse of AI at the frontier in a time of rapid, sustained change. From known threat actors misusing new technologies to new threats enabled by new technologies, we seek to scan available signals and use strategic foresight methodologies to enable proactive detection and mitigation of frontier AI risks.

In this role, you will help to provide strategic-level perspective on a range of evolving risk areas, helping to produce actionable understanding of frontier AI risks relevant to OpenAI’s platforms, surfaces, and broader business interests. Utilizing mixed quantitative and qualitative methodologies, you will spot early warning signs, pull threads on potentially concerning behavior, and turn weak signals into clear, prioritized risk calls. You will focus on upstream ecosystem scanning, competitive benchmarking, and external narrative/risk sense-making. Your work will help to inform cross-functional partners in the protection and safety stacks to guide mitigations that keep users, brands, and communities safe while allowing productive, creative uses of these tools to thrive.

In this role, you willMap and prioritize emerging risks at the frontier of AI

Build and continuously refine a clear picture of emerging signals and trends that could affect the AI ecosystem through upstream and external scanning.

Design and maintain harm taxonomies that provide foresight and warning about how AI harms and misuse may manifest over the next 0-24 months and beyond.

Contribute to an evergreen frontier risk register and prioritization framework that surfaces the top issues by severity, prevalence, exposure, and trajectory.

Detect and deep dive into emerging abuse patterns

Create comprehensive approaches to horizon scanning, competitive benchmarking, and external narrative/risk sense-making.

Stay current on abuse trends ranging from state actor misuse to criminal activity, drawing from the work of internal organizational and cross-functional partners.

Connect individual incidents into system-level stories about actors, incentives, product design weaknesses, and cross-product spillover–whenever possible spotting these incidents or even hypothesizing them before they hit our surfaces.

Turn analysis into actionable risk intelligence

Translate findings into clear, ranked risk lists and concrete proposals for mitigations that product, safety, and policy teams can execute on.

Work with Global Affairs and Communications teams to share findings in ways that reinforce OpenAI’s role as a leader in the online safety ecosystem.

Track whether mitigation work is landing: follow key indicators, pressure-test assumptions, and push for course corrections when the data demands it.

Build early warning and measurement capabilities

Help define the core metrics and signals that indicate whether fast-evolving AI environments are safe (e.g., key harm prevalence, severity distributions, escalation rates, brand safety issues).

Work with data science and visualization colleagues to shape monitoring views and dashboards that highlight leading indicators and unusual changes from signals spotted off platform to determine whether these are manifesting in user behavior or abuse patterns.

Pioneer new uses of our own technologies to scale detection and transform workflows.

Provide strategic analysis and future-looking perspectives

Produce concise but comprehensive strategic intelligence estimates that provide full context about a given interest area that includes confidence levels based on observed data to inform judgments and recommendations.

Run scenario analyses that explore how AI harms might evolve over the next 6–24 months (e.g., how scams may fundamentally evolve alongside the proliferation of agentic AI; how state actors may seek to misuse new scientific capabilities of frontier models).

Help design and run tabletop exercises for internal and partner audiences that distill manifest and latent risks at the frontier of AI and identify mitigations.

Benchmark OpenAI’s risk profile and mitigations against external incidents and other platforms, highlighting gaps, strengths, and opportunities.

Shape safety readiness for new products

Contribute to product readiness an]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-20T04:36:36.771Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, ChatGPT Infrastructure]]></title>
    <date>2026-04-21T01:53:49.722Z</date>
    <referencenumber>cmpgigzzj02xuv2xqe93g5v49</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-chatgpt-infrastructure-e28cfb10</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

ChatGPT is a rapidly evolving system: new capabilities ship continuously, product surfaces change quickly, and usage patterns shift week-to-week. Supporting that pace requires infrastructure that can handle real production constraints—high concurrency, unpredictable traffic patterns, complex dependency graphs, and frequent change.

The ChatGPT Infrastructure team builds and operates the platforms that enable fast iteration without compromising performance or reliability. We design shared systems, data paths, rollout mechanisms, and reliability guardrails that teams rely on to ship changes to ChatGPT at scale.

We focus on high-leverage infrastructure: primitives and “golden paths” that incorporate operational lessons as defaults, so engineers don’t need to rediscover failure modes, latency pitfalls, or integration issues each time they build something new.

About the Role

We’re hiring Senior and Staff Engineers to design and build infrastructure systems that underlie ChatGPT and multiply the effectiveness of teams building user experiences.

This is not a support-only role. It’s a platform-building role: you’ll define interfaces, develop core abstractions, and create tooling to make safe, fast iteration the norm. Your work will reduce friction, prevent regressions, improve performance, and ensure systems scale gracefully as the product grows.

Where You Can Have Impact

You might work on one or more of the following areas (without being restricted to any single area):

Platform foundations &amp; frameworks: Core libraries, service frameworks, and shared components that standardize system building, integration, and evolution.

Scalability &amp; performance primitives: Patterns and infrastructure that reduce tail latency, improve throughput, and keep costs predictable as demand increases.

Reliability guardrails: Mechanisms that prevent outages by design—rate limiting, load shedding, dependency isolation, backpressure, safe fallbacks, and robust regression controls.

Developer productivity via golden paths: Paved roads for common workflows (data access patterns, service integration, request lifecycle) that are fast, safe, and easy to use.

Observability &amp; debugging systems: Instrumentation, metrics models, and investigative tooling that turn vague symptoms (“it’s slow”) into precise, actionable diagnoses.

Safe change management: Deployment and rollout systems that support rapid iteration with confidence—progressive delivery, automated verification, and fast rollback strategies.

Interface and contract design across boundaries: Clean APIs and stable contracts that reduce coupling and enable independent evolution across a complex ecosystem.

What You’ll Do

Build and evolve infrastructure platforms used by many engineers and services.

Translate real-world constraints into clean abstractions: simple APIs, enforceable contracts, safe defaults.

Drive improvements in reliability and performance through principled design, measurement, and iterative hardening.

Partner with engineering and product teams to identify systemic pain points and develop reusable solutions.

Own outcomes end-to-end: design → implementation → rollout → operational maturity.

Qualifications

Minimum Qualifications

Experience building and operating large-scale distributed systems in production (high throughput, concurrency, and failure handling).

Strong fundamentals in systems design, including caching, consistency, queueing/backpressure, and resilient dependency management.

Ability to reason about performance (latency distributions, tail behavior, bottlenecks) and translate analysis into concrete engineering work.

Track record of building platforms or shared infrastructure that improves velocity and correctness for other teams.

Excellent communication and collaboration skills—aligning on interfaces, navigating tradeoffs, and driving cross-team execution.

Preferred Qualifications

Experience designing paved roads / golden paths (frameworks, libraries, self-serve tooling) that shape engineering behavior at scale.

Deep understanding of reliability techniques: graceful degradation, circuit breakers, load shedding, rate limiting, and fault isolation.

Experience building systems for safe iteration: progressive delivery, correctness checks, automated rollout gates, and production validation.

Strong instincts for API and contract design—how to create interfaces that are stable, evolvable, and hard to misuse.

Prior work that demonstrates “force multiplier” impact: enabling many teams via a small set of well-crafted primitives.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our missi]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, APIs, Distributed Systems]]></skills>
    <expirationdate>2026-06-20T01:53:49.722Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Center Controls Network Engineer]]></title>
    <date>2026-04-20T22:16:37.112Z</date>
    <referencenumber>cmpgigzku02u4v2xqon6zuv33</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/data-center-controls-network-engineer-572ab7a7</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners.

As a Data Center Controls Network Engineer, you will design, validate, and scale the controls and OT network architectures that support high-density AI data centers. You will work across controls systems, OT infrastructure, telemetry, commissioning, deployment, and operations, partnering with mechanical, electrical, IT/networking, security, and external delivery teams.

About the Role

We are seeking a mid to senior OT Network Engineer with a strong controls systems background to lead the design and operation of resilient, secure, and scalable OT network architectures for high-density AI data centers. This role translates compute, power, cooling, and operational requirements into practical OT network designs, evaluates vendor solutions, and drives technical decisions across controls infrastructure, telemetry, commissioning, and operations.

The ideal candidate has strong hands-on experience in mission-critical OT environments, including industrial networking, virtualized infrastructure, and OT network operations, with expertise in routing, switching, segmentation, firewall policy, time synchronization, monitoring, and network lifecycle support.

Key Responsibilities

Define controls, automation, and OT network requirements for AI data center campuses.

Develop reference architectures, engineering standards, and reusable design templates.

Review and develop basis-of-design and functional design documents, including OT network diagrams, IP/VLAN schemes, telemetry architectures, data flow diagrams, and commissioning requirements.

Design OT and infrastructure network architectures, including physical topology, logical topology, IP addressing, subnetting, VLANs, routing, switching, redundancy, segmentation, firewall policy coordination, out-of-band management, monitoring, and remote access patterns.

Develop day-two network operations requirements, including change management, configuration backups, golden configurations, monitoring thresholds, firmware lifecycle, rollback plans, and post-change validation.

Partner with electrical, mechanical, IT/networking, security, and operations teams to ensure OT network systems align with GPU deployments, campus-wide telemetry, and failure-domain isolation requirements.

Define integration patterns and protocol requirements across BACnet/IP, BACnet MSTP, Modbus TCP/RTU, OPC UA, IEC-61850 MMS/GOOSE, MQTT, SNMP, syslog, NTP/PTP, IRIG-B, and vendor-specific interfaces.

Lead technical evaluation of controls integrators, network equipment suppliers, design consultants, contractors, and commissioning agents

Review network equipment submittals, configurations, firmware assumptions, certifications, test reports, and quality documentation.

Support factory witnessed testing (FWT), site acceptance testing, network readiness checks, failover testing, and integrated systems testing.

Troubleshoot complex controls network issues including packet loss, latency, duplicate IPs, routing errors, firewall drops, protocol incompatibilities, time synchronization drift, and intermittent device communication failures.

Qualifications

8+ years of relevant experience in controls engineering, industrial automation, OT networking, mission-critical facilities, or similar critical infrastructure environments.

Strong expertise in resilient OT network architecture, implementation, troubleshooting, and lifecycle support.

Experience with OT/IT boundary design, secure enterprise integration, firewall policy design, redundant topologies, out-of-band management, and monitoring.

Hands-on experience with Layer 3 OT network design, including IP addressing, subnetting, routing, VRFs, ACLs, inter-VLAN traffic control, and network segmentation.

Hands-on experience with Layer 2 security and switching controls, including MACsec, port security, loop prevention, and switch-level access control.

Hands-on experience in designing resilient OT network topologies using industrial redundancy protocols and architectures such as PRP, HSR, Cisco REP, RSTP/MSTP, and ring or star topologies.

Hands-on experience in designing resilient infrastructure network architectures using HSRP/VRRP, spine-leaf topologies, redundant uplinks, and failure-domain isolation.

Hands-on experience with industrial and infrastructure network equipment such as Cisco switches/routers, Juniper switches/routers, Palo Alto firewalls, Rockwell Automation Stratix switches, Siemens Ruggedcom or comparable industrial networking platforms.

Experience with network management and observability platforms such as Cisco Catalyst Center (DNA Center), Palo Alto Panorama, Juniper Mist, industrial NMS tools, packet brokers, and OT monit]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Microsoft Azure]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Microsoft Azure, Ansible, Terraform, Python, APIs, PostgreSQL, SQL, MySQL]]></skills>
    <expirationdate>2026-06-19T22:16:37.112Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Workload Porting & Performance Engineer]]></title>
    <date>2026-04-20T22:07:54.793Z</date>
    <referencenumber>cmpgih25b03civ2xq5kwxbqj2</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/workload-porting-performance-engineer-abb8f53a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Infrastructure organization builds and evaluates the systems that power advanced AI workloads. We work closely with hardware, modeling, and architecture teams to ensure that new platforms deliver real-world performance aligned with workload needs.

Our team focuses on understanding workload behavior across evolving hardware platforms—bridging the gap between theoretical capability and observed system performance.

About the Role

We are seeking a Workload Porting &amp; Performance Engineer to evaluate new hardware platforms by porting benchmarks and real-world workloads, analyzing performance, and identifying system bottlenecks.

In this role, you will bring up workloads on new systems, characterize performance behavior, and adapt workloads to better utilize hardware capabilities. You will play a critical role in validating new platforms and ensuring that performance aligns with expectations across compute, memory, and networking subsystems.

This role requires strong hands-on experience with performance analysis, workload optimization, and system-level debugging across hardware and software boundaries.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.

Key Responsibilities

Port and enable benchmarks and real-world workloads on new hardware platforms.

Evaluate system performance across compute, memory, storage, and networking subsystems.

Identify and analyze performance bottlenecks and inefficiencies.

Adapt and optimize workloads to better utilize hardware capabilities.

Develop and run performance experiments and profiling workflows.

Compare expected vs. observed performance and provide feedback to:

hardware architecture teams

performance modeling teams

system and software engineers.

Debug issues across the stack, including software, runtime, and hardware interactions.

Provide actionable insights to guide platform readiness and deployment decisions.

Qualifications

Experience with performance analysis, benchmarking, or workload optimization.

Strong understanding of system architecture, including CPU/GPU, memory, and I/O subsystems.

Experience porting or adapting workloads across different hardware platforms.

Familiarity with profiling tools and performance debugging techniques.

Ability to identify root causes of performance issues across hardware/software boundaries.

Experience working in large-scale or distributed system environments.

Preferred Skills

Experience with AI/ML workloads, including training or inference systems.

Familiarity with GPU or accelerator-based systems.

Experience working with low-level performance tools (profilers, tracing, microbenchmarks).

Background in systems software, compilers, or runtime optimization.

Experience collaborating with hardware and architecture teams on performance validation.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-19T22:07:54.793Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Hardware Architecture Expert - 3P]]></title>
    <date>2026-04-20T22:07:27.017Z</date>
    <referencenumber>cmpgih1zw03bev2xq6vld4sqm</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/hardware-architecture-expert-3p-58a3b840</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Hardware organization develops system and infrastructure solutions optimized for advanced AI workloads. We collaborate across research, software, and external hardware partners to design and deploy next-generation AI systems at scale.

Our team works closely with silicon vendors and system partners to evaluate emerging technologies, validate performance characteristics, and ensure that hardware capabilities translate effectively to real-world AI workloads.

About the Role

We are seeking a 3P Hardware Architecture Expert with deep expertise in GPU and accelerator architectures to engage directly with silicon vendors and guide hardware decisions for AI infrastructure.

In this role, you will evaluate architectural tradeoffs across compute, memory, and interconnect systems, translating vendor specifications into real-world workload impact. You will play a critical role in early silicon evaluation, benchmarking, and performance validation, helping ensure that next-generation hardware meets the needs of our workloads.

This role is highly hands-on and requires both deep technical understanding and the ability to engage at a high level with partners such as NVIDIA and AMD on architectural direction and design tradeoffs.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.

Key Responsibilities

Engage deeply with silicon vendors (e.g NVIDIA &amp; AMD) on GPU and accelerator architecture tradeoffs.

Analyze and interpret performance, power, and efficiency characteristics of next-generation hardware.

Translate vendor specifications into expected real-world performance for AI workloads.

Evaluate architectural aspects including:

compute throughput and utilization

memory systems (HBM, cache hierarchies, bandwidth constraints)

data types and precision tradeoffs (FP16, BF16, FP8, etc.)

interconnect and scaling behavior.

Run benchmarks and profiling to validate hardware performance against workload requirements.

Lead early bring-up and evaluation of engineering sample (ES) silicon.

Partner with performance modeling and system architecture teams to align measured vs. modeled behavior.

Provide actionable feedback to vendors to influence future silicon design and roadmap decisions.

Qualifications

Have deep expertise in GPU or accelerator architecture, including performance and power tradeoffs.

Understand AI workload behavior and how it interacts with hardware design choices.

Are comfortable engaging directly with silicon vendors at a technical architecture level.

Have hands-on experience with benchmarking, profiling, and performance analysis.

Can translate low-level hardware details into system-level and workload-level impact.

Are equally comfortable in theory (architecture) and practice (measurement/validation).

Thrive in environments where you bridge internal teams and external partners.

Preferred Skills

Experience working with or at companies like (e.g NVIDIA &amp; AMD)  or similar silicon providers.

Familiarity with AI accelerator stacks, including GPUs, custom ASICs, or emerging architectures.

Experience with early silicon bring-up or hardware validation workflows.

Strong understanding of memory systems (HBM, DDR, cache hierarchies) and data movement bottlenecks.

Experience with performance tooling, microbenchmarks, and workload characterization.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrust]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[GPUs]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[GPUs]]></skills>
    <expirationdate>2026-06-19T22:07:27.017Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[3P Architect]]></title>
    <date>2026-04-20T22:06:59.961Z</date>
    <referencenumber>cmpgih1zk03bcv2xqp0ohq53z</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/3p-architect-39a7c893</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Hardware organization develops system and infrastructure solutions tailored to the demands of advanced AI workloads. We work across the full stack—from silicon to system integration—partnering closely with internal teams and external vendors to define and deliver next-generation AI infrastructure.

Our team focuses on defining scalable, high-performance system architectures and reference designs that balance performance, cost, and operational efficiency across rapidly evolving technologies.

About the Role

We are seeking a 3P Architect to define and drive rack- and cluster-level reference designs in collaboration with external partners. This role is responsible for translating workload requirements and system-level goals into concrete architectures, aligning partners on critical design attributes, and ensuring vendor roadmaps meet our infrastructure needs.

You will work closely with performance modeling and internal architecture teams to evaluate tradeoffs, while owning the end-to-end definition and execution of third-party system designs. This includes identifying gaps in current technologies, driving vendor development, and shaping future infrastructure capabilities.

This role requires strong system intuition, cross-functional leadership, and the ability to operate effectively across internal teams and external ecosystems.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.

Key Responsibilities

Define rack- and cluster-level reference architectures for AI infrastructure deployments.

Translate workload requirements into clear system design specifications and partner deliverables.

Collaborate with performance modeling teams to evaluate architectural tradeoffs and system behaviors.

Align internal stakeholders and external partners on critical system attributes (performance, cost, power, reliability, scalability).

Identify gaps in current technology offerings and drive vendors (ODM/JDM, silicon, networking) to close those gaps.

Influence and shape vendor roadmaps to meet future infrastructure needs.

Track emerging technologies and evaluate their applicability to AI systems.

Define and lead proof-of-concept (PoC) efforts to validate new architectures and technologies.

Act as a key interface between OpenAI and external partners, ensuring execution against design intent.

Qualifications

Have strong experience in system architecture for large-scale infrastructure or data center environments.

Understand AI workload characteristics and how they map to system-level design decisions.

Are comfortable working with performance modeling outputs to inform architectural direction.

Have experience working with or managing hardware vendors (ODM/JDM, silicon, networking).

Can drive alignment across multiple stakeholders with competing constraints.

Have a track record of turning ambiguous requirements into clear, executable system designs.

Are proactive in identifying gaps and driving solutions across organizational boundaries.

Preferred Skills

Experience defining rack- or cluster-level systems for hyperscale or AI workloads.

Familiarity with accelerators (GPUs/ASICs), interconnects, and data center networking architectures.

Experience influencing vendor roadmaps and reference designs.

Background in infrastructure deployment, hardware engineering, or systems integration.

Experience leading PoCs or early-stage hardware validation efforts.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[GPUs]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[GPUs]]></skills>
    <expirationdate>2026-06-19T22:06:59.961Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Center Infrastructure Engineering Program Manager (Network and Whitespace)]]></title>
    <date>2026-04-20T21:46:38.359Z</date>
    <referencenumber>cmpgih1yn03b6v2xqe8bjdquw</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/data-center-infrastructure-engineering-program-manager-network-and-whitespace-b05c9f6b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners.

As a Data Center Infrastructure Engineering Program Manager, you will help turn complex infrastructure strategy into executable programs across electrical, mechanical, controls, network, hardware, construction, commissioning, deployment, and operations workstreams. You will partner with research, hardware engineering, data center engineering, site development, supply chain, security, EHS, finance, legal, operations, and external delivery partners to bring OpenAI's infrastructure vision to life.

About the Role

We are looking for an Engineering Program Manager (EPM) to lead assigned infrastructure programs focused on production and non-production network integration, controls coordination, and the design and deployment of data hall or whitespace facilities.

The EPM will support functional Directly Responsible Individuals (DRIs) across network, controls, structural, electrical, and mechanical disciplines. Key responsibilities include coordinating assigned workstreams and program controls, maintaining risks and interfaces, and supporting readiness within the network and data hall deployment track.

The ideal candidate thrives on bringing structure to complex environments characterized by ambiguous technical requirements, large partner ecosystems, tight deadlines, and high operational stakes. This individual must be adept at keeping teams aligned on decisions, risks, dependencies, schedules, and readiness criteria, and escalating gaps or decision points when needed.

Candidates should have a proven track record of managing technically challenging engineering programs across major lifecycle phases, including design, validation, procurement, construction, commissioning, deployment, and operational handoff.

Key Responsibilities

Translate assigned infrastructure goals into clear workstream charters, scopes, milestones, owners, decision points, success metrics, resourcing assumptions, and execution plans.

​​Build and maintain integrated execution plans for assigned programs covering network, controls, data hall design, whitespace deployment, commissioning preparation, and deployment readiness.

Support coordination across network, controls, structural, electrical, mechanical, hardware integration, construction, commissioning, and operations teams.

Work with third-party design teams to define design milestones from concept through detailed design, including basis-of-design development, requirements tracking, design reviews, technical comment resolution, change management, and release readiness.

Maintain the dependency map, issue log, risk register, action tracker, and decision log for assigned network and data hall workstreams.

Coordinate design and review milestones for network rooms, non-production network services, OT / IT interface points, rack deployment assumptions, telemetry interfaces, controls dependencies, and data hall deployment packages.

Track building-level network and support-space interfaces such as MPOE, MMR, Network Core, WAN, support rooms, and associated handoff points where they affect assigned programs.

Support the network and controls DRIs by organizing reviews, resolving cross-discipline gaps, surfacing decisions, and keeping partner deliverables aligned to schedule.

Manage partner and vendor deliverables such as submittals, interface packages, installation assumptions, turn-up plans, readiness evidence, field issue logs, and corrective action tracking.

Drive readiness tracking for assigned 1P, 3P, colo, and selected CSP programs, including bring-up sequencing, installation readiness, access dependencies, maintenance windows, and first-use criteria.

Prepare clear status updates, dashboards, and executive-ready summaries for the Industrial Compute lead and project stakeholders.

Capture lessons learned from deployment and handoff activities and feed them back into playbooks, standards, and interface definitions.

Qualifications

Extensive experience in engineering program management, technical program management, mission-critical infrastructure delivery, data center deployment, or comparable complex execution environments, typically gained through 10+ years of relevant work or equivalent depth of experience.

Proven ability to operate within ambiguous, cross-functional engineering programs with shifting requirements, urgent timelines, and high-stakes operational risk, driving from concept through design, validation, procurement, construction, commissioning, deployment, and operations.

Proven experience coordinating cross-functional programs that include network, controls, mechanical, electrical, structural, construction, commissioning, or operations participant]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Operators]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Operators, Cloud]]></skills>
    <expirationdate>2026-06-19T21:46:38.359Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Manager, Technical Revenue Accounting]]></title>
    <date>2026-04-20T21:30:35.642Z</date>
    <referencenumber>cmpgih26203cmv2xqpay85cr2</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/manager-technical-revenue-accounting-896e8bd2</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. Our Controllership team provides accurate, timely, and decision-useful financial information to internal and external stakeholders, while building the processes, systems, and controls needed to support a rapidly evolving business. As OpenAI’s products, pricing models, and commercial structures continue to expand, we are building a finance organization that can scale with both operational complexity and growth.

About the Role

As a Technical Revenue Accounting Manager, you will lead high-impact revenue accounting work across complex and evolving commercial arrangements. You will analyze and support accounting conclusions for a broad range of transactions, including subscriptions, usage-based and API arrangements, committed spend structures, contract modifications, multi-product offerings, and other non-standard terms.

You will partner with Deal Desk, Legal, Go-to-Market, RevOps, Billing, Product, Strategic Finance, and Revenue Accounting to help OpenAI scale its commercialization efforts while maintaining strong accounting rigor, audit readiness, and operational practicality. This role is critical to ensuring our technical revenue accounting policies, decision frameworks, and processes remain robust as the business grows and changes.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Review complex customer arrangements to identify revenue recognition implications under ASC 606, including non-standard terms, bundled offerings, usage-based pricing, committed spend, and contract modifications.

Develop, document, and communicate technical accounting conclusions that are both well-supported and operationally executable.

Partner with Deal Desk, Legal, GTM, RevOps, Billing, Product, and Strategic Finance to evaluate deal structures and provide practical accounting guidance.

Help design and improve scalable revenue accounting processes, systems, controls, and workflows to support month-end, quarter-end, and year-end reporting.

Support the accounting implications of new product launches, pricing changes, and evolving commercial models.

Prepare and maintain technical accounting memos, policy documentation, and audit-ready support for complex revenue positions.

Assist with internal and external audit processes and contribute to cross-functional initiatives that improve the quality, speed, and scalability of revenue accounting.

You might thrive in this role if you have:

8+ years of relevant experience across public accounting, accounting advisory, technical accounting, revenue accounting, or industry roles in technology, SaaS, AI, cloud, infrastructure, or other complex business models.

Deep knowledge of ASC 606 and experience applying revenue recognition guidance to complex customer arrangements.

Experience evaluating non-standard contracts, contract modifications, variable consideration, multi-element arrangements, principal-agent questions, material rights, and usage-based or subscription revenue models.

Strong technical accounting judgment paired with the ability to translate complex conclusions into clear, practical guidance for cross-functional stakeholders.

Experience partnering effectively with teams such as Deal Desk, Legal, GTM, RevOps, Billing, Product, Strategic Finance, and external auditors.

A track record of building or improving scalable processes, systems, controls, or workflows in a fast-moving environment.

Experience implementing or improving revenue automation or revenue accounting systems such as Zuora Revenue, NetSuite ARM, or similar tools.

Excellent written and verbal communication skills, with the ability to influence both finance and non-finance audiences.

Experience in Big 4 or national-firm accounting advisory, including ARA, FAAS, CMAAS, AAS, or similar practices.

CPA required (inactive status acceptable).

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicant]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cloud, NetSuite]]></skills>
    <expirationdate>2026-06-19T21:30:35.642Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Performance Modeling Engineer ~2]]></title>
    <date>2026-04-20T19:33:18.325Z</date>
    <referencenumber>cmpgih22r03byv2xq6vt9vht2</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/performance-modeling-engineer-2-0b4becfb</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions.

Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and support next-generation infrastructure design.

About the Role

We are seeking an Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions.

In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks while developing a strong foundation in system architecture and AI infrastructure.

This role is ideal for early-career engineers with 1–2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software systems.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.

Key Responsibilities

Support the development and maintenance of performance modeling tools and frameworks

Assist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystems

Help analyze distributed system scaling behavior and identify performance bottlenecks

Run simulations and analytical models to support architecture and infrastructure decisions

Partner with senior engineers to evaluate design tradeoffs across hardware and system components

Interpret modeling outputs and help translate findings into clear recommendations

Validate models using benchmarking data and real system performance measurements

Improve modeling workflows, documentation, and usability for broader team adoption

Collaborate cross-functionally with hardware, infrastructure, and architecture teams

Continuously build technical depth across AI infrastructure, system architecture, and performance analysis

Qualifications

1–2 years of experience in software engineering, systems modeling, performance analysis, or related technical work

Strong programming skills and experience building technical tools, scripts, or frameworks

Familiarity with system architecture fundamentals such as compute, memory, and networking

Ability to reason about system performance, bottlenecks, and scaling behavior

Strong analytical and problem-solving skills with comfort working in quantitative environments

Ability to learn quickly and work effectively across technical teams

Preferred Skills

Exposure to AI/ML workloads, distributed systems, or large-scale infrastructure

Experience with simulation tools, benchmarking, profiling, or performance analysis

Familiarity with data center systems, server architecture, or hardware platforms

Interest in system architecture and hardware/software co-design

Internship or early professional experience in performance engineering, infrastructure, or systems design

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer har]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Distributed Systems]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Distributed Systems]]></skills>
    <expirationdate>2026-06-19T19:33:18.325Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Performance Modeling Engineer]]></title>
    <date>2026-04-20T19:33:12.360Z</date>
    <referencenumber>cmpgih1z803bav2xqmeb8p1ke</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/performance-modeling-engineer-89220436</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions.

Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and inform next-generation infrastructure design.

About the Role

We are seeking Performance Modeling Engineers to develop and apply modeling tools that evaluate AI system performance and inform architectural decisions.

In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks and applying them to real-world questions that impact system design and vendor decisions.

This role is well-suited for engineers with strong software or modeling backgrounds who are interested in developing deeper expertise in system architecture and AI infrastructure.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.

Key Responsibilities

Develop and maintain performance modeling tools and frameworks.

Build models to evaluate system behavior across:

compute, memory, and interconnect subsystems

distributed system scaling and bottlenecks.

Run simulations and analytical models to support architectural tradeoff analysis.

Collaborate with performance modeling lead and system architects to answer forward-looking design questions.

Analyze and interpret modeling outputs, translating results into actionable insights.

Validate models against real system measurements and workload behavior.

Contribute to improving modeling fidelity, usability, and scalability.

Qualifications

Strong software engineering or modeling background (e.g., simulation, systems modeling, or performance analysis).

Familiarity with system architecture fundamentals (compute, memory, networking).

Experience with programming and building technical tools or frameworks.

Ability to reason about performance bottlenecks and scaling behavior.

Strong analytical skills and comfort working with quantitative models.

Ability to collaborate across teams and learn new system domains quickly.

Preferred Skills

Exposure to AI/ML workloads or distributed systems.

Experience with simulation tools, performance modeling, or systems analysis.

Familiarity with data center infrastructure or large-scale systems.

Experience working with performance data, benchmarking, or profiling tools.

Interest in system architecture and hardware/software co-design.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting comp]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Distributed Systems]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Distributed Systems]]></skills>
    <expirationdate>2026-06-19T19:33:12.360Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Performance Modeling Lead]]></title>
    <date>2026-04-20T19:32:59.260Z</date>
    <referencenumber>cmpgih1yy03b8v2xqnw76ggj5</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/performance-modeling-lead-738c8d19</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with research, software, and external hardware partners to shape the next generation of AI systems, from silicon through full-scale deployments.

Our team focuses on understanding and optimizing performance across the full system stack—ensuring that architectural decisions are grounded in rigorous, quantitative analysis of real-world workloads.

About the Role

We are seeking a Performance Modeling Lead to build and lead a small, high-impact team responsible for answering forward-looking architectural questions across AI infrastructure systems.

You will develop modeling frameworks and methodologies to evaluate system-level tradeoffs and guide key design decisions. Your work will directly influence reference architectures, vendor designs, and long-term infrastructure strategy.

This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.

Key Responsibilities

Build and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction.

Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology.

Develop performance models to guide decisions on:

scale-up vs. scale-out architectures

interconnect and network design

memory hierarchy and system balance.

Translate modeling outputs into clear recommendations for internal teams and external hardware vendors.

Influence reference designs and vendor roadmaps through data-driven insights.

Partner closely with machine learning, systems, and hardware teams to understand workload characteristics and requirements.

Lead and grow a small team (2–3 engineers), setting technical direction and maintaining high standards for modeling rigor.

Continuously improve modeling fidelity by validating against real system behavior and measurements.

Qualifications

Have experience owning or building performance modeling frameworks used to drive real system design decisions.

Have deep knowledge of AI/ML workloads, including training and/or inference at scale.

Understand system-level tradeoffs across compute, memory, and networking in large-scale distributed systems.

Are comfortable working across abstraction layers—from workload behavior to hardware implementation.

Have experience using modeling (analytical or simulation) to inform architectural decisions.

Can operate in ambiguous problem spaces and turn open-ended questions into structured analysis.

Communicate clearly and influence both internal teams and external partners.

Preferred Skills

Experience working with hardware vendors (ODM/JDM, silicon, networking).

Background in data center infrastructure or hyperscale systems.

Familiarity with accelerators (GPUs/ASICs) and interconnects (e.g., NVLink, InfiniBand, Ethernet).

Experience influencing hardware roadmaps or reference architectures.

Prior experience leading or mentoring engineers.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Machine Learning, Distributed Systems, GPUs]]></skills>
    <expirationdate>2026-06-19T19:32:59.260Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Engineer – Platform]]></title>
    <date>2026-04-20T19:31:08.951Z</date>
    <referencenumber>cmpgigmj102e8v2xqsg7dj26q</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/data-engineer-platform-780b6e54</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Toronto]]></city>
    <country>ES</country>
    <description><![CDATA[The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

The Data Infrastructure product area sits at the heart of Spotify’s Platform mission, enabling teams across the company to solve complex data challenges at scale. We build the infrastructure and tooling that powers data pipelines used in some of Spotify’s most loved experiences, like Discover Weekly and Wrapped. As part of this team, you’ll collaborate with engineers across multiple squads to shape the future of data processing and developer experience at Spotify, especially as AI and intelligent agents become more central to how we work with data.

What You'll Do

Build large-scale batch and real-time data processing tools on Google Cloud Platform, improving developer experience and standardizing workflows
Collaborate with product owners, engineers, and cross-functional squads to deliver impactful features across the data ecosystem
Expand and evolve Spotify’s data processing platform to meet growing and changing business needs
Improve the experience for data practitioners by driving best practices, tooling, and standardization across the ecosystem
Contribute to the evolution of a unified data platform, including efforts toward a data monorepo
Support the development of systems that enable AI agents to effectively interact with and leverage data infrastructure

Who You Are

You have 3+ years of experience working in data engineering or a related field
You are experienced with building and maintaining data pipelines using modern programming languages
You have a strong understanding of systems design, data structures, and scalable architectures
You are comfortable working with high-volume, heterogeneous datasets in distributed cloud environments
You have experience with Python or JVM-based data processing frameworks such as Spark, Flink, or Dataflow
You care deeply about developer experience and enjoy building tools that help others move faster
You apply solid engineering practices like continuous delivery, testing, and writing maintainable, high-quality code
You are curious about emerging technologies, including AI and agent-based systems, and how they can improve data workflows

Where You'll Be

This role is based in Toronto.
We offer you the flexibility to work where you work best! There will be some in-person collaboration, and we expect you to be within a commutable distance to the office.

The Canada base range for this position is $103,321 – $147,602 CAD plus equity. Benefits available for this position include extended health and dental coverage, retirement savings plans, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and other benefits in accordance with Canadian employment standards. These ranges and benefits may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Google Cloud Platform]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Google Cloud Platform, Cloud, Python]]></skills>
    <expirationdate>2026-06-19T19:31:08.951Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Financial Systems Analyst - Platform]]></title>
    <date>2026-04-20T16:24:39.937Z</date>
    <referencenumber>cmpgigmrm02g0v2xqmgaja831</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/financial-systems-analyst-platform-6f42e100</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Toronto]]></city>
    <country>ES</country>
    <description><![CDATA[The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

The Oracles sit at the heart of Spotify’s financial infrastructure, building and evolving the systems that power our subledger and accounting lifecycle. From accruals to reconciliation and ledger integrations, the team is driving a broader FinE initiative to standardize and scale how accounting flows across Spotify. You’ll work closely with engineers, finance partners, and product teams to bring clarity, speed, and accuracy to complex financial systems.

What You’ll Do

Act as the embedded accounting domain expert within Financial Engineering R&amp;D, contributing to day-to-day product and engineering decisions
Guide system and product design to ensure accounting best practices and controls are built into the foundation
Translate complex accounting requirements into scalable, structured system inputs across the subledger lifecycle
Partner closely with engineers and product teams to shape flows for accruals, adjustments, reconciliation, and rebooking
Contribute to the development lifecycle by informing, prototyping, and validating solutions for our core accounting platform
Analyze existing accounting flows to separate core requirements from legacy technical constraints
Help define and standardize accounting logic across systems like MoneyBooker, IOU Batcher, and NetSuite integrations
Break down ambiguous financial and technical challenges into simple, practical solutions

Who You Are

You have 5+ years of experience in operational or technical accounting within a medium to large organization
You have a strong understanding of accrual-based accounting, subledger processes, and accounting best practices
You are experienced in partnering with technical teams and can clearly communicate accounting concepts in a systems context
You are comfortable working in data-driven or system-heavy environments and are curious about how systems operate
You bring a structured, analytical approach to problem solving and are comfortable navigating ambiguity
You have experience working with ERP systems, with NetSuite as a plus
You are interested in developing your technical skillset and working more closely with engineering
You enjoy working at the intersection of finance, systems, and product in evolving environments

Where You'll Be

This role is based in Toronto.
We offer you the flexibility to work where you work best! There will be some in-person meetings, but still allows for flexibility to work from home.

The Canada base range for this position is $109,779.00-156,827.00 CAD plus equity. Benefits available for this position include extended health and dental coverage, retirement savings plans, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and other benefits in accordance with Canadian employment standards. These ranges and benefits may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Flows]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Flows, NetSuite]]></skills>
    <expirationdate>2026-06-19T16:24:39.937Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Engineering Manager, Multimodal (API)]]></title>
    <date>2026-04-20T16:22:08.024Z</date>
    <referencenumber>cmpgigz8p02rgv2xqu4g6a0fb</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/engineering-manager-multimodal-api-700e969b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team:
OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Our API is the industry's most widely adopted AI platform, empowering startups, indie developers, and Fortune 500 companies alike. Through multimodal APIs—spanning real-time interactions, text-to-speech (TTS), speech generation, and image generation—we enable users to harness the full potential of diverse AI modalities effectively and at scale.

About the Role:

We are seeking an Engineering Manager to lead our multimodal API product suite. Your team will be responsible for delivering innovative APIs across real-time processing, speech transcription, speech generation, and image creation. You will own the product roadmap for how we evolve our multimodal API offerings, and you will build the products that allow developers to reach millions of end users through AI audio, video, and images.

In this role, you will:

Build, mentor, and grow a high-performing engineering team focused on multimodal API products – including our realtime API, our transcription models (Whisper), our speech generation models (TTS), and our image generation APIs (DALLE and native 4o).

Collaborate closely with product managers, designers, and other stakeholders to define the strategic vision and product roadmap.

Work closely with our research teams to improve our core multimodal models for API customer use cases.

Guide technical and architectural decisions, emphasizing scalability, robustness, and user experience.

Foster a culture of innovation, continuous improvement, and accountability within your team.

Qualifications:

Proven experience managing engineering teams that deliver complex, high-quality products at scale.

Strong technical background and proficiency in modern software engineering practices and system architecture.

Excellent collaboration and communication skills to effectively coordinate across diverse teams and stakeholders.

Familiarity with or strong interest in multimodal AI, including speech technologies, real-time systems, and image generation.

Ability to operate effectively in a fast-paced, ambiguous startup environment.

Preferred Qualifications:

Experience developing multimodal systems or APIs in AI/ML domains, especially around image generation, audio generation, or speech transcription.

Familiarity with real-time streaming technologies, audio processing, and computer vision.

Hands-on experience with cloud platforms and distributed architectures.

Location:

This role is in-person at our San Francisco office.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immen]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[APIs]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[APIs, Computer Vision, Cloud]]></skills>
    <expirationdate>2026-06-19T16:22:08.024Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Product Manager, Core Experience (Playback)]]></title>
    <date>2026-04-20T10:33:41.892Z</date>
    <referencenumber>cmpgignia02lkv2xqw7bzrm75</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-product-manager-core-experience-playback-246dd901</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Stockholm]]></city>
    <country>ES</country>
    <description><![CDATA[We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

We’re seeking a Senior Product Manager to lead the playback experience across Spotify’s mobile apps. This is one of the most highly used parts of the product, where millions of users engage with music, podcasts, audiobooks, and video every day. You’ll shape how content, controls, and context come together to create seamless, personalized listening experiences in real time.

 
What You'll Do

Lead product strategy for Spotify’s playback experience, shaping how listening becomes more engaging, rewarding, and valuable for users, creators, and the business

Define and evolve the user experience and information architecture across playback surfaces

Partner closely with engineering, design, and cross-functional teams to deliver high-quality experiences

Drive innovation across content layers, playback modes, and contextual experiences

Translate complex technical systems into clear product direction and user value

Use data, experimentation, and user insights to inform decisions and continuously improve the experience

Align stakeholders across multiple product areas to ensure a cohesive and scalable ecosystem

Lead cross-functional initiatives end-to-end, owning scope, alignment, and delivery

Who You Are

You have 5+ years of experience in product management, ideally working on consumer-facing products

You’re experienced building for mobile platforms such as iOS and Android, including complex user interfaces

You understand how to build scalable systems and experiences that enable teams to move faster

You’re able to balance user experience, technical constraints, and business impact

You care deeply about creating intuitive, high-quality experiences at scale

You’ve worked closely with engineering, design, and data partners to bring products to life

You’re comfortable navigating ambiguity and bringing clarity across teams

You’ve influenced stakeholders across functions and levels to drive alignment and outcome

Where You'll Be

This role is based in Stockholm or London.

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

This team operates within the Central European and GMT time zone for collaboration.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Product Management]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Product Management, Android]]></skills>
    <expirationdate>2026-06-19T10:33:41.892Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Center Infrastructure Mechanical Engineer]]></title>
    <date>2026-04-19T21:39:29.669Z</date>
    <referencenumber>cmpgigz1502pyv2xqx7bvg3zc</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/data-center-infrastructure-mechanical-engineer-b5c1a308</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners.

As a Data Center Infrastructure Mechanical Engineer, you will help design, validate, and scale the cooling and mechanical systems that make high-density AI compute possible. You will work across thermal architecture, equipment development, manufacturing validation, construction, commissioning, deployment, and operations, partnering with research, hardware engineering, data center engineering, supply chain, EHS, operations, and external delivery partners.

About The Role 

We are seeking a senior mechanical infrastructure engineer to lead the development of reliable, efficient, safe, and scalable thermal architectures for high-density, liquid-cooled AI data centers. This role is ideal for someone who can translate evolving compute and rack-level thermal requirements into practical infrastructure designs, evaluate complex equipment and vendor solutions, and drive technical decisions across facilities, hardware, controls, telemetry, testing, commissioning, and operations.

The ideal candidate has deep hands-on experience with mission-critical mechanical systems at data center or comparable critical infrastructure scale, including chilled water plants, condenser water systems, cooling towers, dry coolers, pumps, heat exchangers, CDUs, manifolds, CRAHs, air handlers, filtration, water treatment, controls, liquid distribution, and high-density rack cooling interfaces.

Key Responsibilities

Define mechanical and cooling infrastructure requirements and reference architectures for AI data center campuses, including heat rejection, chilled water, condenser water, liquid cooling distribution, air handling, containment, filtration, water treatment, controls, and metering.

Review and develop basis-of-design documents, design narratives, P&amp;IDs, mechanical schedules, equipment specifications, thermal capacity models, hydraulic models, CFD analysis, controls sequences, and commissioning requirements.

Evaluate mechanical architectures for high-density compute, including direct-to-chip liquid cooling, CDU topology, facility water interfaces, manifolds, quick disconnects, hoses, heat exchangers, pumping strategies, leak detection, serviceability, and failure isolation.

Partner with electrical, controls, hardware, networking, construction, and operations teams to ensure cooling systems support liquid-cooled GPU rack deployments and reliable facility operation.

Develop technical specifications and acceptance criteria for chillers, cooling towers, dry coolers, evaporative coolers, pumps, heat exchangers, CDUs, manifolds, valves, filters, water treatment systems, CRAHs, air handlers, VFDs, controls panels, sensors, and monitoring devices.

Lead technical evaluation of equipment vendors, manufacturers, design consultants, commissioning agents, contractors, and testing laboratories; review submittals, P&amp;IDs, control diagrams, performance curves, test reports, certifications, and quality documentation.

Drive factory acceptance testing, site acceptance testing, witness testing, pressure testing, leak testing, thermal performance testing, reliability testing, interoperability testing, and integrated systems testing for critical equipment and high-density rack deployments.

Help design and operate a hardware and data center infrastructure R&amp;D laboratory used to validate new cooling equipment, liquid-cooled GPU rack designs, operating envelopes, fault scenarios, telemetry, and facility-hardware interactions.

Collaborate with hardware manufacturers to evaluate L10 and L11 test procedures, yield, throughput, reliability, serviceability, and readiness for large-scale deployment.

Define telemetry and controls requirements for mechanical and supporting electrical systems, including temperatures, flow rates, differential pressure, pump status, valve position, chiller status, CDU status, coolant quality, leak detection, alarms, control states, and rack-level thermal signals.

Analyze lab data, operational incidents, thermal excursions, flow excursions, pressure excursions, leak events, contamination events, nuisance alarms, controls alarms, and rack-level thermal failures to improve designs, procedures, vendor quality, and reliability models.

Create clear engineering documentation, standards, test procedures, commissioning scripts, operating procedures, decision records, risk registers, and executive-ready technical summaries.

Provide senior technical escalation support during design reviews, construction, manufacturing validation, commissioning, startup, production deployment, vendor testing, and operational events.

Mentor partner teams and raise the technical bar for mechanical design, thermal valid]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-18T21:39:29.669Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Center Infrastructure Electrical Engineer]]></title>
    <date>2026-04-19T21:31:20.428Z</date>
    <referencenumber>cmpgigzdj02siv2xq5salkqks</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/data-center-infrastructure-electrical-engineer-0afcf635</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners.

As a Data Center Infrastructure Electrical Engineer, you will help define, validate, and scale the electrical power systems that support high-density AI compute. You will translate evolving compute requirements into practical facility and rack-power architectures, evaluate new technologies and vendor solutions, and drive technical decisions across design, manufacturing validation, construction, commissioning, deployment, and operations.

This role is best suited for a senior hands-on engineer with deep experience in mission-critical power systems, strong judgment under ambiguity, and the ability to connect facility infrastructure, hardware requirements, controls, telemetry, reliability, and operations.

About the Role

We are seeking a senior electrical infrastructure engineer to lead the development of reliable, scalable, and efficient power architectures for high-density, liquid-cooled AI data centers.

The ideal candidate has strong practical experience with critical electrical systems at data centers or comparable industrial scale, including medium-voltage and low-voltage distribution, utility interfaces, backup power, UPS and battery systems, rack power delivery, grounding, protection, controls, and monitoring systems.

You should be comfortable moving between long-range architecture, detailed engineering review, lab validation, vendor qualification, field deployment, and operational troubleshooting.

Key Responsibilities

Design and optimize electrical topologies and equipment strategies that reduce cost, accelerate schedules, improve efficiency, increase scalability, and maintain high reliability and maintainability.

Review and develop basis-of-design documents, single-line diagrams, equipment specifications, commissioning plans, and power system studies including load flow, short circuit, protection coordination, arc flash, and grid transient compliance.

Lead technical evaluation of equipment vendors, manufacturers, design consultants, commissioning agents, contractors, and test labs. Review submittals, schematics, certifications, quality records, and test reports.

Evaluate AC and DC power distribution options for high-density compute, including rectifier architectures, busway, rack power shelves, power supplies, cable management, redundancy strategies, serviceability, and fault isolation.

Partner with mechanical, cooling, controls, hardware, networking, construction, and operations teams to ensure electrical systems support liquid-cooled GPU rack deployments and reliable facility operation.

Drive FAT, SAT, witness testing, burn-in, reliability testing, interoperability testing, and integrated systems testing for critical infrastructure and rack deployments.

Help guide and operate an R&amp;D program to validate new equipment, rack designs, telemetry, operating envelopes, failure scenarios, and facility-to-hardware interactions.

Define telemetry and controls requirements including metering, waveform capture, breaker and relay status, UPS and battery health, generator status, rack power, CDU status, coolant conditions, alarms, and control states.

Analyze lab data, operational incidents, power quality events, nuisance trips, thermal excursions, controls alarms, and rack-level failures to improve designs, procedures, vendor quality, and reliability models.

Create engineering standards, test procedures, commissioning scripts, operating procedures, decision records, risk registers, and concise executive summaries.

Provide senior technical escalation support during design reviews, construction, manufacturing validation, commissioning, energization, deployment, and operational events.

Raise the technical bar across partner teams in electrical design, safety, testing discipline, documentation quality, reliability, and operational rigors

Qualifications

10+ years of electrical engineering experience in mission-critical facilities such as data centers or comparable critical infrastructure.

Bachelor’s degree in electrical engineering, power systems, or a related discipline.

Strong hands-on experience with MV/LV distribution, transformers, switchgear, switchboards, generators, UPS systems, batteries, PDUs, RPPs, busway, PSUs, grounding, bonding, and protection systems.

Experience producing and reviewing electrical designs, studies, equipment specifications, commissioning plans, test procedures, and acceptance criteria.

Experience leading FWTs, FATs, SATs, integrated systems testing, failure-mode testing, and root-cause investigations.

Strong understanding of codes, standards, utility coordination, safety requirements, and AHJ processes.

Ability to evaluate conflicting techni]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-18T21:31:20.428Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Engineering Acceleration | Consumer Devices]]></title>
    <date>2026-04-17T17:04:42.529Z</date>
    <referencenumber>cmpgih24803cav2xq5tnomqgj</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-engineering-acceleration-consumer-devices-9d4bc27e</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

At OpenAI | Consumer Devices, you won’t just build products—you’ll help shape the future of how humanity interacts with intelligence. We’re looking for exceptional people who thrive on solving hard problems, move with urgency, and want their work to matter at global scale. Here, you’ll collaborate with some of the most talented minds in research, engineering, and operations to create products that millions (perhaps billions) will come to enjoy and rely on. If you’re motivated by impact, curiosity, and the chance to define what comes next, we’d like to hear from you.

About the Role
The Engineering Acceleration-focused engineer on the Consumer Device Infrastructure team builds the CI/CD systems, developer workflows, and internal platform capabilities that help engineers develop, test, ship, and debug software across device and cloud surfaces.

This is a highly hands-on senior engineering role focused on CI/CD, software build and deployment pipelines, and developer productivity. You will design and build the technical foundations that improve engineering velocity, reduce toil, and increase software quality. You will also make pragmatic architecture and platform decisions based on the organization’s stage, scaling needs, and security requirements.

We’re looking for an engineer with deep experience in developer productivity and CI/CD who enjoys building robust internal platforms, improving day-to-day engineering workflows, and creating secure, reliable systems that other engineers depend on.

This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Design, build, and operate CI/CD systems and software delivery pipelines for software that runs both on device and in the cloud.

Lead the design and architecture of internal platform capabilities across build, test, deployment, workflow automation, and developer tooling.

Make hands-on technical decisions about platform design, abstraction boundaries, and system tradeoffs based on the team’s current stage, scale, and operational needs.

Improve developer productivity by shortening feedback loops across build, test, debugging, environment setup, and release-adjacent workflows.

Build self-serve paved-road workflows that reduce manual effort and make common engineering tasks fast, reliable, and easy to adopt.

Use AI-native tooling and automation to improve engineering workflows, failure triage, and developer output quality.

Build secure-by-default platform capabilities, including access controls, secrets and credential handling, artifact permissions, auditability, and policy enforcement in software delivery workflows.

Partner closely with product, systems, release, quality, and infrastructure teams to understand pain points and turn them into durable platform improvements.

Define and track metrics for platform health and engineering effectiveness, including build times, queue times, failure rates, flaky failures, and deployment lead time.

Guide engineering teams on pragmatic observability, reliability, and scalability choices for the systems they build.

Participate in the on-call rotation for the systems owned by the team.

You might thrive in this role if you:

Have 7+ years of software engineering experience, including 5+ years building developer productivity, CI/CD, internal platform, or engineering systems.

Have deep experience designing and operating robust CI/CD pipelines, build systems, and software delivery infrastructure for complex products.

Have a strong track record of personally building platform features and workflow improvements that materially increased engineering velocity, reliability, or developer experience.

Have experience making architectural decisions for internal platforms, including when to standardize, when to abstract, and when to keep systems simple.

Have experience adapting technical decisions to the maturity and scaling stage of an organization, balancing speed, reliability, maintainability, and adoption.

Have working knowledge of secure software delivery practices such as least-privilege access, secrets management, policy enforcement, auditability, or software supply chain hardening.

Have strong empathy for the tools, workflows, and frustrations that create toil or slow engineering teams down.

Are comfortable operating in ambiguous, fast-changing environments and bringing structure where needed.

Communicate clearly and work effectively across teams with different priorities, constraints, and technical needs.

Technical Context
At the heart of our infrastructure is a large-scale deployment of CPU/GPU nodes running in Kubernetes clusters across regions. We build secure systems that support software running on device and in the cloud. Some core technologies we work with include Terraform, Buildkite, Bazel, Postgres, Cosmos DB, Kafka, and more.

About OpenAI

OpenAI is an AI research and de]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[CI/CD]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[CI/CD, Cloud, Kubernetes, Terraform, Postgres, Kafka]]></skills>
    <expirationdate>2026-06-16T17:04:42.529Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Kernel Performance & AI Tooling]]></title>
    <date>2026-04-17T16:45:35.079Z</date>
    <referencenumber>cmpgih21u03bsv2xqh4tbnm2t</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-kernel-performance-ai-tooling-419e61a0</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the Role

We are looking for a systems-minded engineer to help advance our kernel development, performance engineering, and hardware-software co-design capabilities, with a particular focus on AI-assisted workflows and tooling. This person will work at the intersection of kernel optimization, developer tooling, observability, and research infrastructure, helping us improve both how production kernels are built and optimized, and how future hardware-software systems are designed and evaluated. The role is ideal for someone who is excited by low-level performance work, but also sees AI and automation as powerful tools for accelerating engineering velocity. You will help define the future of kernel engineering in the era of AI-assisted development.

In this role, you may:

Build developer tooling and workflows that make kernel development and performance optimization faster, more scalable, and easier to debug, integrate, and deploy.

Develop observability, diagnostics, and validation infrastructure that makes AI-assisted optimization systems more interpretable, reliable, and effective.

Optimize production kernels end to end by formulating optimization problems, running search loops, analyzing bottlenecks, debugging generated implementations, and landing improvements into production.

Design abstractions, interfaces, and automation systems that accelerate kernel optimization, correctness validation, and hardware-software co-design.

Improve AI-assisted optimization systems for specialized tasks through better datasets, evaluations, benchmarking, and research infrastructure.

Partner across research and engineering teams to turn new ideas into practical systems spanning production needs and long-term infrastructure strategy.

You might thrive in this role if you have:

Strong systems or tooling engineering experience, with a background in low-level software, performance optimization, or infrastructure.

Experience with developer tooling, debugging infrastructure, profiling, observability, or workflow design for technical users.

Depth in kernel development, accelerator architecture, compiler systems, or related performance-critical domains.

Familiarity with AI-assisted systems, agentic workflows, post-training, or reinforcement learning for engineering or research applications.

Strong experimental judgment, comfort with ambiguity, and the ability to move fluidly between research exploration and production execution.

Interest in compilers, DSLs, program synthesis, or AI for systems.

Preferred profile

The ideal candidate is a strong systems and tooling engineer with real depth in kernels and accelerators. They are comfortable working across software and hardware boundaries, can reason deeply about performance, abstractions, and system design, and have hands-on experience optimizing code for GPUs, high-performance CPUs, or custom accelerators. They view AI not as the end product, but as a force multiplier for engineering productivity and system optimization.

To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Reinforcement Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Reinforcement Learning, GPUs]]></skills>
    <expirationdate>2026-06-16T16:45:35.079Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Research Scientist - Personalization]]></title>
    <date>2026-04-17T16:27:38.629Z</date>
    <referencenumber>cmpgignjm02luv2xqy1ggsm4x</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-research-scientist-personalization-8c10a116</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

Spotify’s Personalization organization builds the technology that helps millions of listeners discover what they love. Within this space, our research team focuses on advancing the state of the art in machine learning and AI to shape the future of personalization. We explore new approaches, challenge existing assumptions, and contribute to the broader research community while influencing long-term product direction.

What You'll Do
Conduct original research in machine learning and artificial intelligence, with a focus on large-scale foundation models and generative AI
Develop novel methodologies, models, and evaluation frameworks to advance personalization systems
Design and execute rigorous experiments to explore new ideas and validate research hypotheses
Contribute to the scientific community through publications, talks, and conference participation
Collaborate with cross-functional partners to translate research insights into long-term product opportunities
Help define and evolve a forward-looking research agenda aligned with Spotify’s personalization strategy
Mentor others and contribute to a strong, curious, and collaborative research culture

Who You Are
You have a Master’s or PhD in machine learning, artificial intelligence, or a related field, or equivalent research experience
You have 2+ years of experience conducting research in machine learning or AI, ideally in an industry or academic setting
You have a track record of publications or contributions to top-tier conferences such as NeurIPS, ICML, ICLR, or similar
You have deep knowledge of machine learning, with experience in areas such as recommender systems, generative models, or representation learning
You are experienced in designing experiments and working with real-world datasets to validate research ideas
You care about advancing understanding of user behavior and improving experiences across music and talk content
You bring curiosity, creativity, and a thoughtful approach to solving complex, open-ended problems
You value collaboration and actively seek diverse perspectives in your work

Where You'll Be

This role is based in New York City or Boston
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home

The United States base range for this position is $169,157–$241,653 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Machine Learning, Generative AI]]></skills>
    <expirationdate>2026-06-16T16:27:38.629Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior C++ Engineer - Mobile Infrastructure - Connectivity]]></title>
    <date>2026-04-17T11:30:32.010Z</date>
    <referencenumber>cmpgign8k02jov2xqnv2wn9jz</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-c-engineer-mobile-infrastructure-connectivity-344a4f78</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[Mission StatementThe Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

About the TeamYou’ll join the Connectivity squad within Spotify’s Core Infrastructure studio. This team owns the client networking stack end-to-end, from HTTP requests to real-time messaging and connection state management. Working at the intersection of mobile platforms and backend systems, the squad plays a critical role in ensuring seamless connectivity for hundreds of millions of users globally.

This is an opportunity to join early in the squad’s formation, working alongside a small group of senior engineers with high ownership and direct influence on technical direction. You’ll collaborate closely with backend teams to shape client-server communication, protocols, and reliability at scale.

What You'll Do

Build and evolve the core systems that power client networking across Spotify’s mobile platforms
Refactor and modularize existing components across C++, Android, and iOS, improving structure, ownership, and long-term scalability
Improve integration layers to reduce coupling and simplify adoption across client applications
Design and implement observability solutions, including metrics and telemetry, to support end-to-end debugging
Lead migrations away from legacy networking systems, ensuring stability and minimizing risk during transitions
Balance forward-looking development with maintaining reliability for hundreds of millions of active users
Collaborate closely with engineers, product managers, and partner teams to align on priorities and delivery
Contribute to long-term architectural decisions and help define best practices for mobile and client infrastructure

Who You Are

You have 5+ years of experience in mobile or infrastructure engineering, with strong expertise in C++
You are experienced working across Android and/or iOS environments and navigating large, multi-platform codebases
You have built and shipped production-grade SDKs or mobile infrastructure components
You have a deep understanding of networking fundamentals such as HTTP/2+, WebSockets, caching, retries, and resilience patterns
You are familiar with real-time messaging systems such as PubSub or WebSocket-based architectures
You are confident debugging, profiling, and optimizing performance across native and platform layers
You have experience with CI/CD systems, build tooling, and modularization at scale
You are comfortable working in a forming team environment with evolving scope and structure
You communicate clearly and collaborate effectively across mobile, backend, and infrastructure teams

Where You'll Be
This role is based in London
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[HTTP]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[HTTP, Android, CI/CD]]></skills>
    <expirationdate>2026-06-16T11:30:32.010Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Associate Client Partner - Emerging & Scaled (New Business)]]></title>
    <date>2026-04-17T07:17:11.144Z</date>
    <referencenumber>cmpgigmct02d0v2xqsrzoxwdm</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/associate-client-partner-emerging-scaled-new-business-c59c2911</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Sydney]]></city>
    <country>ES</country>
    <description><![CDATA[Sell what you love. For us and millions of users across the globe, that’s Spotify. Join the Sales team and you’ll build the relationships that help grow our business in existing markets and beyond. We don’t just sell creative solutions to our clients and partners, we help to shape them; using our expert knowledge of ad products, sales channels and the industry to impact the way the world experiences music and podcasts. 
The Emerging &amp; Scaled team is focused on unlocking growth from new and growing advertisers across Spotify’s ads business. The New Business team brings first-time advertisers onto the platform and builds the foundation for long-term partnerships. ANZ is a key market within our Australia and New Zealand E&amp;S organization. Based in Sydney, you will partner closely with our existing ANZ Client Partners and Sales leadership to build a dedicated New Business pipeline and expand Spotify’s advertiser base across Australia and New Zealand.

This role focuses on new business acquisition. You will source, qualify, and close net-new advertisers, building relationships from scratch and converting first-time buyers into long-term Spotify partners. Reporting to E&amp;S leadership in ANZ, you will be part of a dedicated cross-market New Business team focused on net-new advertiser acquisition and revenue growth across Australia and New Zealand.

You’re motivated, proactive, and energized by building new relationships.. Integrity and a healthy work-life balance are non-negotiable. You’ll shape how new advertisers discover Spotify and elevate their connection to our platform.

What You'll Do

New Business Acquisition: Own a portfolio of prospective accounts across the Australian and New Zealand markets, proactively identifying, qualifying, and converting net-new advertisers into active Spotify partners through proactive outbound prospecting.
Outreach &amp; Prospecting: Execute multi-channel outreach motions including account research, persona mapping, personalized email sequences, and LinkedIn engagement. Create and leverage mockups (audio, video, display) to drive responsiveness and first-time advertiser adoption.
Pipeline Management: Maintain a healthy pipeline with rigorous Salesforce hygiene, accurate forecasting, and consistent meeting cadence. Drive toward quarterly net-new revenue targets and advertiser onboarding milestones.
Client Activation: Close deals and onboard new advertisers, ensuring strong activation on Spotify Ads Manager and biddable channels. Monitor account performance after activation.
Collaboration &amp; Handoffs: Partner with existing accounts that are lapsed or dormant, and build new top-of-funnel pipeline opportunities. Collaborate with existing Client Partners to ensure smooth account transitions when accounts graduate beyond New Business thresholds.
Product Expertise: Develop deep expertise in Spotify’s ad products, formats, and buying channels. Stay ahead of product innovations and monitor marketplace shifts to continuously refine your prospecting approach.
Market Development: Build relationships with key agencies and holding companies in ANZ to unlock new brand-direct and agency-led opportunities.

Who You Are

Hunter Mentality: You have 4+ years of experience in digital media sales minimum, ideally in a New Business or acquisition-focused role. You excel at cold outreach, account mapping, competitive research, and crafting personalized messaging that drives response.
Organized &amp; Self-Reliant: You independently manage a high-volume book of prospective accounts with confidence, prioritizing engagements with efficiency.
Articulate: You are an effective communicator, clearly articulating Spotify’s value proposition and understanding client business needs.
Intrinsically Motivated: You are driven by your own goals and always aim to beat your personal best. You thrive on building something new.
Commercially Driven: You thrive on exceeding targets and making a tangible impact. Experience in ad tech, programmatic, or audio advertising is a plus.
Team-Oriented: You believe in collaborative success, eager to learn from your peers and share your expertise.

Where You'll Be

This role is based in Sydney
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times per week and are open to periodic travel across Australia and New Zealand for client meetings, events, and team collaboration. 

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Outreach]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Outreach, Salesforce, Excel]]></skills>
    <expirationdate>2026-06-16T07:17:11.144Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Lead Music Development, Türkiye]]></title>
    <date>2026-04-17T05:42:18.945Z</date>
    <referencenumber>cmpgigmvd02guv2xqet28srz9</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/lead-music-development-t-rkiye-b983f766</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Istanbul]]></city>
    <country>ES</country>
    <description><![CDATA[The Lead, Music Development acts as the principal architect in fortifying Spotify’s relationships and standing within the Turkish music landscape across labels, industry bodies, and other institutional stakeholders. Acting as the spokesperson, this role strengthens Spotify’s position in the Turkish music ecosystem by shaping clear narratives and leading strategic initiatives and events. You will address industry sentiment, focus on strengthening institutional relationships, and connect with internal global music leadership to ensure a seamless flow of information and feedback.

What You'll Do

Build and lead relationships with major and independent labels, CMOs, and key music industry partners across Türkiye
Drive strategic alignment through initiatives like Quarterly Business Reviews, focusing on long-term growth and shared outcomes
Represent Spotify as a trusted voice in the Turkish music ecosystem through events, panels, and industry forums
Shape and deliver clear, compelling narratives that communicate Spotify’s platform, values, and innovations
Partner with Marketing, PR, Government Affairs, and global Music teams to align communication and engagement strategies
Provide local teams with insights on market trends, emerging genres, and shifts in listener behavior
Translate market data into actionable strategies that support artists, partners, and business growth
Design and lead education initiatives that help partners better understand Spotify’s tools, model, and opportunities
Define and deliver initiatives that support the growth, diversity, and global reach of Turkish music
Manage budgets to execute impactful programs across the local music ecosystem

Who You Are

You have a minimum of 15 years of experience across media, entertainment, or technology, with exposure to rights, partnerships, or content strategy
You understand how the digital music ecosystem works, including streaming models and platform dynamics
You know how to build and maintain senior-level relationships across complex stakeholder environments
You are comfortable representing an organization publicly and can communicate complex ideas in a clear, engaging way
You use market insights and data to guide decisions and influence strategy
You collaborate effectively across global teams and can balance local priorities with broader business goals
You communicate fluently in both Turkish and English, with confidence in formal presentations and discussions
You bring a strong understanding of the Turkish music landscape, including regulatory and industry dynamics
You care about supporting creators and contributing to a more inclusive and sustainable music ecosystem

Where You'll Be

This role is based in Istanbul
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-16T05:42:18.945Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Manager, API Infrastructure]]></title>
    <date>2026-04-17T03:07:07.413Z</date>
    <referencenumber>cmpgih22e03bwv2xqlicnncla</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-manager-api-infrastructure-35ae904a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team: 

The OpenAI API team builds the foundation that enables every developer to harness OpenAI’s models safely, reliably, and at scale. We design and operate the systems that power model serving, API access, billing, developer tooling, and enterprise integrations—forming the connective tissue between OpenAI’s research breakthroughs and real-world products.

Our mission is to make it effortless for anyone to build with OpenAI technology. We’re responsible for the infrastructure and product layers that allow millions of developers to integrate GPT models, fine-tune behavior, manage data, and deliver transformative experiences to their users. We collaborate across product, research, and engineering teams to ensure that innovation in model capabilities translates directly into value for customers.

The API team spans multiple disciplines, including product management, infrastructure engineering, developer experience, and data systems. We care deeply about reliability, scalability, and simplicity—creating tools that let developers focus on their ideas while we handle the complexity of running world-class AI systems.

About the Role: 
We are seeking an experienced Product Manager to define and scale the construction of our data processing, data privacy, billing, and access controls products. You will set strategy and execute on projects like expanding our regional data processing footprint, enabling new inference caching controls in the API or building APIs that make it easier for organizations to manage their spend limits. You will also define the strategy and ship foundational capabilities that ensure customers use OpenAI products securely, privately, and with enterprise-grade controls. This role partners deeply with engineering, security, legal, compliance, finance and leadership to deliver high-trust, enterprise-grade systems.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees

In this role, you will:

Develop an enterprise data control plane to securely access and manage enterprise data for LLM use

Drive product strategy for safety controls, privacy features, access management, and API usage/cost visibility.

Build and improve data governance capabilities: retention, encryption, audit logs, permissions, and lifecycle management.

Lead development of access control models, identity flows (SSO/SAML, SCIM), and admin tooling.

Oversee usage metering, cost dashboards, alerts, budgeting tools, and predictable API cost experiences.

You might thrive in this role if you:

Have experience in security, privacy, data infrastructure, or usage-based platform products.

Strong understanding of data governance, access controls, and enterprise identity.

Experience with usage metering, cost-management tooling, or billing-adjacent systems.

Ability to work across security, legal, engineering, compliance, and finance domains.

Strong systems thinking, analytical skills, and comfort operating in high-risk, high-trust areas.

Proven experience leading large, complex, highly technical cross-functional teams. Mentoring/leading others is a plus.

Excellent communication and ability to drive alignment across complex technical and regulatory environments.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Product Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Product Management, APIs, Flows, SSO, SAML, SCIM]]></skills>
    <expirationdate>2026-06-16T03:07:07.413Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Legal Program Manager (Hardware Compliance)]]></title>
    <date>2026-04-16T23:58:07.007Z</date>
    <referencenumber>cmpgih21a03bov2xqe4qz6az6</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-legal-program-manager-hardware-compliance-cdf55685</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises legal professionals from diverse fields, including technology, privacy, IP, corporate, cybersecurity, employment, tax, regulatory, and litigation.

About the Role

As a Senior Legal Program Manager focused on regulatory compliance, you will lead and manage large-scale, cross-functional initiatives to ensure OpenAI meets its obligations under evolving global regulatory frameworks. Your work will span areas such as AI governance, risk management, transparency, as well as privacy and model compliance. This role places you at the center of emerging legal and compliance challenges in artificial intelligence.

You will collaborate closely with other legal program managers and product teams, and partner with internal and external counsel to build and execute compliance programs that scale. You’ll help define operational systems and legal infrastructure to proactively address regulatory requirements across OpenAI’s products and practices. This is a unique opportunity to shape how cutting-edge AI technology is responsibly developed and deployed within a complex legal and regulatory landscape.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Lead global compliance for hardware launches, ensuring products meet regulatory and consumer law obligations across all launch jurisdictions.

Monitor and manage global regulatory requirements for hardware, including tracking regulatory developments and updating compliance plans accordingly.

Own requirements tracking for physical product compliance, including packaging inserts, labeling, and consumer disclosures across markets.

Drive launch readiness for warranties and consumer terms, partnering closely with Product Marketing and Legal.

Identify risks and drive cross-functional resolution strategies in collaboration with subject-matter experts.

You might thrive in this role if you:

8+ years of experience in program or project management.

Experience managing programs at a fast-paced technology company.

Deep experience building and scaling hardware compliance programs.

Proven ability to drive complex cross-functional programs, set milestones, and synthesize input from diverse stakeholders.

Strong ability to operate in ambiguity and shifting priorities.

Excellent organizational, analytical, and communication skills, with strong ownership and judgment.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can b]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Project Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Project Management]]></skills>
    <expirationdate>2026-06-15T23:58:07.007Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Engineering Manager - AI Fleet Management & Honk]]></title>
    <date>2026-04-16T21:56:34.630Z</date>
    <referencenumber>cmpgigmnp02f8v2xq9xnampi4</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/engineering-manager-ai-fleet-management-honk-a1af2c44</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Stockholm]]></city>
    <country>ES</country>
    <description><![CDATA[The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

What if the systems you built changed how millions of developers work — not just at Spotify, but across the industry? The Platform Developer Experience (PDX) team builds the infrastructure and internal products that power how Spotify engineers ship software. Within PDX, the Wingspan team is building the next generation of fleet management and reimagining how we interact with AI agents — and bringing those capabilities to market through Portal, Spotify’s external developer platform built on Backstage.
 
We are redesigning platform engineering around intelligent agents, large language models, and decision-aware automation. In this role, you’ll lead a team shaping how AI becomes a core operating layer of modern platform infrastructure, directly improving how developers ship and maintain software at scale.
What You'll Do• Lead and grow a team building AI-native backend systems that orchestrate large-scale, autonomous fleet changes
• Define the technical vision for integrating LLM-powered reasoning and agent-based execution into production infrastructure
• Architect systems where AI agents analyze service metadata, generate safe change plans, execute updates, and validate outcomes
• Establish safety boundaries, evaluation frameworks, and observability models for AI-driven automation at scale
• Drive responsible AI adoption by embedding governance, auditability, and human-in-the-loop safeguards into system design
• Balance rapid experimentation with platform reliability, ensuring intelligent automation meets production-grade standards
• Partner with product and go-to-market teams to position Portal and AI fleet management as a leading developer platform
• Build a team culture grounded in curiosity, technical rigor, and continuous learning in emerging AI systems

Who You Are • You have 3+ years of experience leading engineering teams working on distributed systems or developer platforms at scale
• You have 5+ years of experience in backend engineering with strong expertise in Java, Python, and/or Node.js
• You have experience integrating AI/ML systems, LLMs, agent frameworks, or AI-assisted tooling into real-world systems
• You understand how autonomous systems make decisions and how to design guardrails that ensure safety, reliability, and traceability
• You think in systems, considering data flows, model behavior, orchestration layers, and operational impact
• You are comfortable leading in emerging technical domains where patterns are still forming
• You create inclusive environments where diverse perspectives strengthen technical and product decisions
• You communicate clearly across engineers, product leaders, and executives about both the opportunities and risks of AI-driven systems

Where You'll Be• We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions).
•This team operates within the Central European and GMT time zone for collaboration]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Distributed Systems]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Distributed Systems, Java, Python, Node.js, ML Systems, LLMs, Flows]]></skills>
    <expirationdate>2026-06-15T21:56:34.630Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Staff Machine Learning Engineer - Agentic Systems]]></title>
    <date>2026-04-16T20:27:10.717Z</date>
    <referencenumber>cmpgignl302m6v2xq1izn6mpc</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-staff-machine-learning-engineer-agentic-systems-9ae77cf3</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[Spotify’s Personalization team is building the next generation of intelligent listening experiences. Across surfaces like DJ, Search, AI Playlists, and Home, we’re evolving from standalone features into a unified, agent-powered platform.

Generative AI is reshaping how we build products and systems. As part of this shift, we’re creating a shared Agent Engine that powers agent-based experiences across Spotify. You’ll join a cross-functional group of engineers, researchers, and product partners working at the intersection of distributed systems, machine learning, and user experience to shape how millions of listeners interact with audio every day.

What You'll Do

Lead the technical architecture of Spotify’s Agent Engine, the shared runtime that powers agent-based experiences across the platform
Guide the transition of existing agent-powered features into a unified system, balancing speed, reliability, and real-world product constraints
Design how internal systems can be exposed as agent capabilities, enabling seamless integration across recommendations, search, catalog, and more
Build and improve evaluation systems that help teams measure quality, reliability, and user impact with confidence
Partner with research and machine learning teams to define what belongs in system design versus model capabilities
Explore and prototype new approaches to agent-based systems, and bring successful ideas into production at scale
Support best practices in building production-ready AI systems, including experimentation, observability, and performance optimization
Contribute to technical standards that help teams move faster while maintaining security and reliability
Stay connected to advances in the AI and machine learning community, and apply relevant ideas to Spotify’s products

Who You Are

You have experience building and scaling production AI systems, including systems powered by large language models
You are comfortable working across system design, infrastructure, and machine learning concepts, and enjoy connecting these areas
You have experience with areas such as agent orchestration, LLM infrastructure, evaluation systems, or data pipelines for machine learning
You have worked on platform or consolidation efforts that bring multiple systems or teams together
You are able to make progress in ambiguous problem spaces and bring structure to open-ended challenges
You communicate clearly and work well with engineering, product, and research partners across different levels of the organization
You stay informed on developments in AI and are motivated to apply new ideas in practical ways
You take a pragmatic approach to building, using prototypes and iteration to move ideas forward
You take ownership of outcomes and proactively manage risks, trade-offs, and expectations

Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location
This team operates within the Eastern Standard time zone for collaboration

The United States base range for this position is $281,196 - $401,709 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Machine Learning, Generative AI, Distributed Systems]]></skills>
    <expirationdate>2026-06-15T20:27:10.717Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Full Stack Software Engineer, OpenAI Edu]]></title>
    <date>2026-04-16T20:19:34.599Z</date>
    <referencenumber>cmpgih20f03biv2xq45qetj47</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/full-stack-software-engineer-openai-edu-f975f642</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the team

OpenAI’s Education team is building products and experiences that help learners, educators, and institutions benefit from AI in ways that are rigorous, useful, and grounded in real learning outcomes.

The work spans both consumer and B2B education, with close collaboration across engineering, learning science, design, data, and research. This team sits in a highly strategic investment area for OpenAI, with strong opportunities to shape how product ideas flow across consumer and institution-facing experiences.

Some of our recent work:

New tools for understanding AI and learning outcomes

Education for countries

Advancements in higher education

Early product work - Introducing Study Mode

About the role

We’re looking for a product-minded Full Stack Engineer to help build OpenAI’s education products from the ground up. You’ll own end-to-end development across the stack, from early concepting and prototyping through production launch and iteration.

This is an opportunity to work on a highly strategic, early-stage product area where engineering judgment, product sense, and customer empathy all matter.

You’ll partner closely with leaders across the education org, including learning scientists, researchers, designers, and cross-functional partners, to turn emerging ideas into durable product experiences for schools, universities, and other education stakeholders.

In this role, you will:

Build and ship product experiences across the full stack for OpenAI’s education offerings

Own projects end-to-end, from ideation and technical design through implementation, launch, and iteration

Work closely with learning scientists and researchers to translate learning goals and evidence into product decisions

Collaborate with design, data, and cross-functional partners to build thoughtful, high-quality user experiences

Help define the engineering foundation for a growing education pod, including patterns, systems, and technical direction

Contribute to products that may inform both consumer and B2B education experiences over time

Your background might look something like:

5+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies

Former founder, or early engineer at a startup who has built a product from scratch is a plus

Proficiency with TypeScript, React, and other web technologies

Proficiency in one or more backend languages (e.g., Python, Go, Rust, Typescript or similar) and distributed systems concepts

Some experience with relational databases like Postgres/MySQL

Care deeply about reliability, safety, and performance in production environments.

Interest in AI/ML (direct experience not required)

Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.

Have experience building interactive educational tools or learning products, or are excited to apply your skills in this space

Have a strong interest in improving access to education and expanding opportunities for learners worldwide

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties requ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[ChatGPT, TypeScript, React, Python, Rust, Distributed Systems, Postgres, MySQL]]></skills>
    <expirationdate>2026-06-15T20:19:34.599Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Buscamos SAP FICO Consultant – S/4HANA Implementation | Barcelona]]></title>
    <date>2026-04-16T18:48:25.881Z</date>
    <referencenumber>cmo1u1e760001gmzsd34ynjhp</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/buscamos-sap-fico-consultant-s-4hana-implementation-barcelona-mo1u1e60</url>
    <company><![CDATA[The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Barcelona]]></city>
    <country>ES</country>
    <description><![CDATA[🚀 Consultor/a SAP FI/CO – S/4HANA | España

Buscamos un Consultor SAP FI/CO para incorporarse a proyectos de alto impacto de implementación y rollout S/4HANA para clientes internacionales en sectores financiero e industrial.

🎯 Qué harás
• Liderar configuración end-to-end del módulo FI/CO en S/4HANA
• Recoger y analizar requisitos de negocio con stakeholders
• Diseñar procesos financieros integrados (FI-AP, FI-AR, FI-GL, FI-AA, CO-PA, CO-CCA)
• Coordinar con equipos funcionales y técnicos durante el ciclo del proyecto
• Mentorizar consultores junior y aportar guía técnica
• Participar en actividades de preventa y workshops de solución

🧠 Qué buscamos
• 4+ años de experiencia en SAP FI/CO
• 1-2 implementaciones S/4HANA full-cycle como mínimo
• Sólido dominio de procesos contabilidad financiera y controlling
• Experiencia con SAP Fiori y debugging ABAP (plus)
• Inglés fluido; castellano es una ventaja

✨ Qué te ofrecemos
• Salario competitivo con bonus por desempeño
• Modelo híbrido / remoto flexible
• Exposición a proyectos internacionales
• Formación continua y certificaciones SAP financiadas
• Plan de carrera adaptado a tus fortalezas]]></description>
    <salary><![CDATA[30000-60000 EUR/year]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[S/4HANA]]></category>
    <remotetype>Hybrid</remotetype>
    <skills><![CDATA[S/4HANA, SAP FI/CO, CO-PA, SAP Fiori, ABAP]]></skills>
    <expirationdate>2026-06-15T18:48:25.881Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Artist Label Partnerships Manager, Taiwan]]></title>
    <date>2026-04-16T13:42:42.281Z</date>
    <referencenumber>cmpgigmbd02cqv2xqj7ixp0qg</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/artist-label-partnerships-manager-taiwan-ac0242c7</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Taiwan]]></city>
    <country>ES</country>
    <description><![CDATA[We are looking for a strategic-minded, execution-oriented Artists &amp; Label Partnerships Manager for Taiwan, to join Spotify’s Music team based in Taipei. In this role, you will be part of the Music team in Southeast Asia, reporting to the regional Head of Artists &amp; Label Partnerships.
 
You will sit at the heart of the music ecosystem, moving between high-level release strategies and the day-to-day tactical execution that drives artist and business growth. This role is perfect for a music industry professional who thrives on building relationships and navigating the intersection of technology and creativity.
 
Our ideal candidate has fun at work and a desire to make a positive impact on the music industry as a whole. Above all, your work will impact the way the world experiences music and strengthen Spotify’s role as a trusted, culturally relevant voice in the music landscape. This role is based in Taipei and will require international travel occasionally.
What You'll Do
Focusing on the Taiwan music landscape, You will be the primary point of contact for local and global music partners based in Taiwan, ensuring that Spotify remains the most valued partner for artists and our industry partners, utilising on-platform promotion and off-platform marketing to ensure Spotify is the premiere platform for artist development
Develop and execute a holistic music strategy for Taiwan that aligns with regional business goals
You will contribute your expertise to various music-related projects within the company, executing on creative and cross-functional collaborations in the region and beyond, building impactful and innovative artist partnerships to enable artists and artist-fan engagement
You will proactively identify music trends, emerging talent and opportunities in the local and global music landscape, providing deep cultural and musical insights with the local SEA team to execute pivotal initiatives, your global counterparts on multi-market campaigns and other key internal partners &amp; teams including editorial, artist marketing, consumer marketing, licensing and others
Support and educate our key partners across artists and labels communities in Taiwan on Spotify tools, resources and insights to encourage them and improve their daily business
Lead artists &amp; label partnerships representation in high-impact cross-functional projects and strategic bets at both a regional and global level
Ensure Spotify has the best possible content offering in Taiwan and use this to further Spotify’s appeal to existing and new users
Work with regional Editorial teams and regional Genre Groups on high priority releases, as well as other cross-functional teams to progress towards various content objectives
Connect other Spotify teams with the music industry to help drive and execute opportunities driven by Spotify and our partners. You will act as liaison between Spotify and artist / label partners.

Who You Are
You have at least 7+ years of working experience with label and artist relations in an established digital music service, record label, media or tech company. Regional and global experience would be an added advantage
You have a deep understanding and established network within the local music industry in Taiwan and have built relevant contacts with labels and artists to effectively collaborate with the community
You will demonstrate a team player spirit, a passion for performance-oriented analytics, and a solid understanding of Spotify’s role in the music industry both locally and globally
You are skilled at leveraging data and audience insights to support strategic decisions and build clear narratives
You are culturally aware, with the ability to critically evaluate music trends, emerging movements and audience behaviour beyond just data
You are a confident storyteller and public speaker. You are able to prepare and deliver executive level presentations, effectively advocate for the market and secure stakeholder buy-in with ease
You are well organised and detail-oriented with the ability to plan, deliver on tight deadlines and pay outstanding attention to detail
You are at ease and have proven experience navigating fast-changing priorities in a dynamic environment, comfortable navigating complex global-to-local organizational structures and aligning cross-functional teams around Music priorities
You have strong project management skills with a consistent record in marketing and operations
You have excellent negotiation and people skills and consistently demonstrates a positive attitude
You have experience working within Taiwan and ideally across multiple markets within regional and global teams
Fluent in English and Mandarin. Fluency in regional languages would be an added advantage

Where You'll Be
This role is based in Taipei
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home

Spotify is an equal opportunity employ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Project Management]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Project Management]]></skills>
    <expirationdate>2026-06-15T13:42:42.281Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Deployment Engineer, Codex | India]]></title>
    <date>2026-04-16T10:05:08.029Z</date>
    <referencenumber>cmpgih24f03ccv2xq3zgwiwiu</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-deployment-engineer-codex-india-3fb3f90a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Delhi]]></city>
    <country>ES</country>
    <description><![CDATA[About the team

The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.

About the Role

We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.

This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.

This role is based in Bangalore.

In this role, you will:

Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.

Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.

Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.

Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.

Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.

Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.

Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.

Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.

You’ll thrive in this role if you:

Have 8+ years of post-sales engineering or solutions architecture, working directly with customers.

Have 2+ years of software engineering experience and a strong understanding of the software development life cycle.

Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.

Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.

Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.

Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.

Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.

Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.

Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified appli]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, SDLC]]></skills>
    <expirationdate>2026-06-15T10:05:08.029Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Scientist - Subscriptions]]></title>
    <date>2026-04-16T09:20:24.092Z</date>
    <referencenumber>cmpgigmli02eov2xq7054x5o2</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/data-scientist-subscriptions-96bbe86b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[The Subscriptions team drives how Spotify grows by building compelling ways for listeners to experience and pay for Premium. We focus on creating the right plans, pricing, and value so that millions of listeners choose Spotify every day—and keep coming back.

You’ll join the Premium Desirability Data Science team within Subscriptions Product Insights. This team focuses on understanding what makes Spotify Premium valuable to listeners—and how we can make it even better.

We look at what drives people to subscribe, what keeps them engaged, and how we can continuously improve the Premium experience. You’ll work closely with Product, Engineering, Design, and Research to shape decisions that impact millions of users around the world.

What You'll Do

Explore how listeners experience Spotify Premium and identify opportunities to improve conversion, retention, and engagement.
Design and analyze experiments to understand the impact of new features and product changes.
Build and orchestrate AI-powered analytical workflows to automate complex analyses and scale output.
Define and track meaningful metrics that reflect the health and value of the Premium experience.
Develop dashboards and tools that help teams monitor performance and make informed decisions.
Investigate user behavior trends and bring forward insights that shape product direction.
Partner closely with cross-functional teams to align on goals and translate data into action.
Communicate insights clearly to a wide range of audiences, including senior stakeholders.
Contribute to a strong, collaborative data culture by sharing knowledge and supporting peers.
Communicate insights clearly to a wide range of audiences, including senior stakeholders.

Who You Are

You have 4+ years of experience in data science or analytics, working with product or business teams.
You bring a strong foundation in statistics, economics, mathematics, computer science, or a similar field, or equivalent practical experience.
You are confident working with large datasets and have strong skills in SQL and Python.
You have experience designing and analyzing experiments and understand how to measure impact with rigor.
You are comfortable owning projects end-to-end, from framing the problem to delivering actionable insights.
You have experience applying AI or automation in analytics workflows by integrating LLM’s to streamline multi-step analyses.
You communicate complex ideas in a clear, structured and engaging way.
You are curious, proactive, and comfortable working in a fast-moving environment with some ambiguity.
You enjoy collaborating across teams and building strong working relationships.
You have experience in consumer products, subscriptions, or monetization-focused environments.

Where You'll Be
This role is ideally based in New York City, United States.
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $116 995 - $167 135, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Gmail]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Gmail, SQL, Python]]></skills>
    <expirationdate>2026-06-15T09:20:24.092Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Technical Program Manager, Robotics Data Acquisition]]></title>
    <date>2026-04-16T03:31:41.823Z</date>
    <referencenumber>cmpgih23103c0v2xqs6inehw5</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/technical-program-manager-robotics-data-acquisition-0bfd3fde</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About Team

Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives.

About the Role

We’re looking for a Technical Program Manager to own and scale the systems that power robotic data acquisition across our development and evaluation environments. This role sits at the intersection of Robotics Engineering, Operations, and Infrastructure, ensuring that DAQ stations and associated workflows reliably produce high-quality data for model training and evaluation.

You will drive end-to-end execution of complex, cross-functional programs that integrate robotic platforms, sensing systems, operator tooling, and data pipelines into cohesive, production-ready systems. Success in this role requires strong systems thinking, operational rigor, and the ability to translate ambiguous research needs into scalable infrastructure.

In this role you will:

Own DAQ Program Delivery
 Lead the roadmap, execution, and scaling of robotic DAQ systems, ensuring alignment with research, engineering, and operational priorities.

Drive Cross-Functional Integration
 Coordinate across robotics hardware, software, infrastructure, and operations teams to deliver tightly integrated, deployment-ready data collection systems.

Operationalize Data Collection Systems
 Translate experimental and research workflows into repeatable, scalable DAQ processes with clear SLAs, metrics, and reliability targets.

System Readiness &amp; Deployment
 Ensure DAQ stations (robots, sensors, compute, operator interfaces) are fully integrated, validated, and ready for production use across multiple sites.

Program Execution &amp; Risk Management
 Build and manage detailed program plans, identify risks early, and drive mitigation across technical and operational domains.

Capacity &amp; Throughput Planning
 Model and plan DAQ capacity (stations, operators, uptime) to meet evolving data demands, balancing speed, cost, and quality.

Quality &amp; Data Integrity Oversight
 Partner with engineering and data teams to define and enforce data quality standards, ensuring consistency and usability for downstream model training.

Continuous Improvement
 Drive improvements in system reliability, utilization, and efficiency through instrumentation, feedback loops, and process optimization.

You might thrive in this role if you:

5+ years of experience in technical program management, systems engineering, or operations in hardware, robotics, or infrastructure-heavy environments

Strong systems-level thinking across hardware, software, and operational workflows

Proven ability to lead complex, cross-functional programs with high ambiguity

Experience scaling physical systems (labs, factories, robotics fleets, or test infrastructure)

Comfortable working close to hardware and debugging real-world system issues

Strong analytical skills; able to model capacity, throughput, and system performance

Excellent communication skills with the ability to align diverse stakeholders

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including t]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Operators]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Operators]]></skills>
    <expirationdate>2026-06-15T03:31:41.823Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Environmental Health and Safety, Engineering & Technical Program Manager]]></title>
    <date>2026-04-15T21:14:16.525Z</date>
    <referencenumber>cmpgih23d03c2v2xq05xo737k</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/environmental-health-and-safety-engineering-technical-program-manager-ef7b94ea</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Environmental, Health &amp; Safety (EHS) team partners across the company to enable safe, compliant, and scalable operations as our work, facilities, and technologies grow globally. We work closely with Engineering, Research &amp; Development, Workplace, Operations, Security, IT, and external partners to design practical safety programs that support innovation while protecting people.

Our approach emphasizes risk-based decision making, thoughtful program design, and strong cross-functional collaboration. We focus on building systems that scale, meet regulatory expectations, and are easy for teams to adopt in fast-moving environments.

About the Role

OpenAI is seeking an EHS Manager, Engineering &amp; Technical Operations to support expanding hardware engineering and research and development environments across emerging technology domains.

This role will partner closely with engineering, research, and technical operations teams to assess and control exposure risks, strengthen safe work practices, and build scalable EHS programs that enable innovation while protecting people, facilities, and equipment. You will operate across multiple technical disciplines and translate complex hazards into practical controls that teams can apply in fast-moving environments.

The role also provides EHS advisory input on product and equipment safety, helping engineering teams identify hazards early in development and integrate safety considerations into evolving technologies.

This position requires strong operational judgment, field presence, and the ability to collaborate effectively with technical teams while maintaining regulatory compliance.

This role is onsite in the San Francisco Bay Area five days per week to support close partnership and strong field engagement in technical environments.

In this role, you will:

Lead EHS programs supporting hardware engineering, research and development, and technical operations environments across multiple sites, with emphasis on industrial hygiene and product and equipment safety risks.

Conduct exposure and hazard assessments across chemical, physical, and operational risks and implement effective controls aligned with the hierarchy of controls.

Develop, maintain, and scale SOPs and safety standards for technical workflows, equipment use, materials handling, and high-risk operations.

Partner with engineering and technical teams to embed safety-by-design principles into equipment, workspaces, and evolving technical processes.

Provide EHS advisory support on product and equipment safety, helping identify hazards during development, testing, and deployment phases.

Strengthen compliance frameworks across OSHA/Cal-OSHA, NFPA, ANSI, and related safety standards, ensuring programs align with regulatory expectations.

Support regulatory readiness across sites, including preparing teams for inspections, coordinating responses to agency inquiries, and partnering with regulators when necessary.

Own or co-own programs such as hazard communication, chemical management, ventilation and engineering controls effectiveness, equipment safety, and contractor safety.

Lead incident and near-miss investigations, develop corrective and preventive actions, and analyze trends to drive continuous improvement.

Deliver targeted training, support onboarding and work authorization or permitting processes, and reinforce a strong on-the-floor safety culture.

You might thrive in this role if you:

8–10+ years of EHS experience supporting engineering, research and development, technical operations, or other complex technical environments.

Strong capability in industrial hygiene principles, including exposure assessment, monitoring approaches, and control selection.

Experience advising teams on product or equipment safety hazards, including mechanical, electrical, thermal, or chemical risks.

Technical fluency across multiple disciplines such as mechanical systems, electrical hazards, equipment safety, materials and chemical hazards, and facility controls.

Working knowledge of OSHA/Cal-OSHA, NFPA, ANSI, and related regulatory frameworks.

Experience supporting or interfacing with regulatory agencies or inspections and translating regulatory requirements into practical operational controls.

Demonstrated ability to influence cross-functional partners and embed safety considerations early in engineering and operational planning.

Strong field presence and operational judgment in dynamic, evolving technical environments.

Professional certifications such as CSP, ASP, CIH, CHMM, or equivalent are preferred.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to ach]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-14T21:14:16.525Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Manager, Safety Measurement]]></title>
    <date>2026-04-15T21:11:10.773Z</date>
    <referencenumber>cmpgih23s03c6v2xqqysnsl38</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-manager-safety-measurement-f3e246a2</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency.

Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations.

About the Role

The Safety Measurement Product Manager owns OpenAI's approach to measuring harm and safeguard efficacy in production, including driving the strategy for our suite of safety measurement platforms and products used across the company. You will partner closely with our safety research and engineering teams to determine what we measure, where we measure it, and how we measure it, feeding those insights directly into critical leadership decisions and back into our safety work. You will also represent the company's topline safety metric as well as prioritize incoming requests from partner teams to expand our safety measurement platform to more use cases.

This position is based in San Francisco, CA, with relocation assistance available.

In this role, you will:

Partner closely with data science, research, engineering, policy teams, and other stakeholders to craft a vision for understanding safety outcomes and prevalence on our platforms.

Define strategic priorities and product roadmaps focused on improving safety measurement approaches will scaling our measurement platform to more use cases, products, and cross-functional team needs.

Establish repeatable processes to integrate cutting-edge AI safety research into OpenAI’s safety measurement products.

Develop and continuously refine clear, actionable success criteria that effectively capture our ambitions with safety measurement.

Represent quantitative progress on safety to senior leadership.

You might thrive in this role if you:

Have 6+ years of product management or related industry roles, with specific expertise in AI safety, trust &amp; safety, integrity, or related domains.

Have a background in data science, statistics, economics, or related fields.

Are deeply curious and interested in interdisciplinary fields such as human-computer interaction, psychology, philosophy, or similar areas.

Have hands-on experience driving consensus and action in ambiguous spaces.

Excel at identifying and challenging underlying assumptions and constraints through insightful questioning.

Are highly effective at cross-functional collaboration and communicating complex technical concepts clearly and persuasively.

Enjoy working in a fast-paced, high-growth environment.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Product Management]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Product Management, Excel]]></skills>
    <expirationdate>2026-06-14T21:11:10.773Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Multigres Deployment Engineer]]></title>
    <date>2026-04-15T20:52:02.563Z</date>
    <referencenumber>cmpgih67k03lov2xq5xeila9b</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/multigres-deployment-engineer-35fe1c3b</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

We're looking for an engineer to own the deployment and operational infrastructure of Multigres, our distributed Postgres platform. You'll be responsible for building and maintaining the Multigres Operator, ensuring reliable cloud deployments, and creating the tooling that powers our Kubernetes-based infrastructure.

What You’ll Be Responsible for:Build and maintain the Multigres Operator - Maintain our Go-based Kubernetes operator that orchestrates distributed Postgres deployments

Architect cloud deployment infrastructure - Design and implement robust deployment patterns for EKS and other Kubernetes platforms

Manage storage and networking layers - Work with CSI drivers, persistent volumes, and cross-cloud networking to ensure data reliability and connectivity

Develop deployment tooling - Create internal tools and automation for provisioning, scaling, and managing Multigres clusters

Ensure operational excellence - Build monitoring, alerting, and diagnostic capabilities into the deployment layer

Collaborate across teams - Work with database engineers, SRE, and product teams to deliver seamless deployment experiences

You Might Be a Good Fit If You have:Strong systems programming skills - Proficiency in Go and experience building production-grade operators or controllers

Deep Kubernetes expertise - Hands-on experience with Kubernetes internals, custom resources, and cloud-managed Kubernetes services (EKS, GKE, AKS)

Database operations knowledge - Understanding of database deployment patterns, backup/restore, replication, and high availability

Distributed systems experience - Familiarity with consensus protocols, failure scenarios, and designing for resilience

Cloud infrastructure background - Experience with cloud-native deployment tooling, IaC (Terraform, Pulumi), and cloud provider APIs

Production operations mindset - Track record of building reliable, observable, and maintainable systems

Nice to Have:Experience with CSI storage drivers and storage orchestration in Kubernetes

Knowledge of cross-cloud networking tools like Cilium, Istio, or similar service mesh technologies

Prior work with sharded query serving systems like Vitess

Contributions to open-source infrastructure projects

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Hiring ProcessWe keep things simple, async-friendly, and respectful of your time:

Apply – Our team will review your application.

Intro Call – A short video chat to get to know each other.

Interviews – Up to four calls with:

Team Leads

Future teammates

Someone cross-functional from product, growth, or engineering (depending on the role)

Someone from our leadership/founding team

Decision – We may follow up with a final question or go straight to offer.

All communication is remote and we aim to move fast.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Vector Search, Cloud, Kubernetes, Operators, Distributed Systems, Terraform, APIs]]></skills>
    <expirationdate>2026-06-14T20:52:02.563Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Technical Support Engineer - AMER]]></title>
    <date>2026-04-15T18:02:01.559Z</date>
    <referencenumber>cmpgihj9a03p4v2xq6o4g1s1q</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/technical-support-engineer-amer-cdbec76e</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the RoleTechnical Support Engineers are the first line of defense for our users, debugging tricky issues, building automations to streamline workflows, and ensuring every interaction with Cursor is smooth and impactful. You'll partner closely with product and engineering to champion the voice of the customer and shape how AI-powered developer support scales.

What you’ll doProvide in-depth technical support via support tickets and Slack messages, resolving complex user-reported issues and ensuring high-quality customer interactions.

Debug, reproduce, and troubleshoot software bugs and usability problems.

Design and build internal tools and automations to scale support operations.

Represent Anysphere in technical conversations with enterprise users and developers.

Partner with Product and Engineering to escalate critical issues and feed insights into the roadmap.

Maintain and expand user-facing documentation and internal knowledge bases to empower both customers and teammates.

You may be a fit ifExperience in technical support, software engineering, or a related technical role.

Strong understanding of software development workflows; experience with IDEs, LLMs, and building with AI.

Strong debugging skills and a passion for digging deep into technical problems.

Clear, concise communication skills to explain complex concepts to technical and non‑technical audiences.

Self-starter with curiosity, creativity, and a bias for action.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cursor, Slack, LLMs]]></skills>
    <expirationdate>2026-06-14T18:02:01.559Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Technical Support Engineer - EMEA]]></title>
    <date>2026-04-15T18:01:35.468Z</date>
    <referencenumber>cmpgihj9l03p6v2xq1sgq3dbm</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/technical-support-engineer-emea-e2a9cca0</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Netherlands]]></city>
    <country>NL</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the RoleTechnical Support Engineers are the first line of defense for our users, debugging tricky issues, building automations to streamline workflows, and ensuring every interaction with Cursor is smooth and impactful. You'll partner closely with product and engineering to champion the voice of the customer and shape how AI-powered developer support scales.

What you’ll doProvide in-depth technical support via support tickets and Slack messages, resolving complex user-reported issues and ensuring high-quality customer interactions.

Debug, reproduce, and troubleshoot software bugs and usability problems.

Design and build internal tools and automations to scale support operations.

Represent Anysphere in technical conversations with enterprise users and developers.

Partner with Product and Engineering to escalate critical issues and feed insights into the roadmap.

Maintain and expand user-facing documentation and internal knowledge bases to empower both customers and teammates.

You may be a fit ifExperience in technical support, software engineering, or a related technical role.

Strong understanding of software development workflows; experience with IDEs, LLMs, and building with AI.

Strong debugging skills and a passion for digging deep into technical problems.

Clear, concise communication skills to explain complex concepts to technical and non‑technical audiences.

Self-starter with curiosity, creativity, and a bias for action.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cursor, Slack, LLMs]]></skills>
    <expirationdate>2026-06-14T18:01:35.468Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Technical Support Engineer - APJ]]></title>
    <date>2026-04-15T17:59:26.971Z</date>
    <referencenumber>cmpgihj9u03p8v2xq5jdl10l5</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/technical-support-engineer-apac-2217d786</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[APAC]]></city>
    <country>ES</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the RoleTechnical Support Engineers are the first line of defense for our users, debugging tricky issues, building automations to streamline workflows, and ensuring every interaction with Cursor is smooth and impactful. You'll partner closely with product and engineering to champion the voice of the customer and shape how AI-powered developer support scales.

What you’ll doProvide in-depth technical support via support tickets and Slack messages, resolving complex user-reported issues and ensuring high-quality customer interactions.

Debug, reproduce, and troubleshoot software bugs and usability problems.

Design and build internal tools and automations to scale support operations.

Represent Anysphere in technical conversations with enterprise users and developers.

Partner with Product and Engineering to escalate critical issues and feed insights into the roadmap.

Maintain and expand user-facing documentation and internal knowledge bases to empower both customers and teammates.

You may be a fit ifExperience in technical support, software engineering, or a related technical role.

Strong understanding of software development workflows; experience with IDEs, LLMs, and building with AI.

Strong debugging skills and a passion for digging deep into technical problems.

Clear, concise communication skills to explain complex concepts to technical and non‑technical audiences.

Self-starter with curiosity, creativity, and a bias for action.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cursor, Slack, LLMs]]></skills>
    <expirationdate>2026-06-14T17:59:26.971Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Infrastructure, Consumer Devices]]></title>
    <date>2026-04-15T17:24:47.957Z</date>
    <referencenumber>cmpgih1hf038cv2xqic8xbcgn</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-infrastructure-consumer-devices-2620bac7</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Role

We are seeking a Cloud Infrastructure Engineer to help design and evolve the platforms that power OpenAI’s products.

In this role, you will be a hands-on technical leader, driving the architecture, scalability, reliability, and security of critical infrastructure systems. You will help define how we build and operate infrastructure at the next order of magnitude, while influencing technical direction across teams.

This role is both deeply technical and highly strategic, requiring strong ownership, sound judgment, and the ability to partner effectively across engineering, product, and research organizations.

In this role, you will:Design and build scalable, reliable, and secure infrastructure platforms that power OpenAI products

Evolve cloud infrastructure abstractions that enable rapid product development across teams

Architect systems to support significant growth, performance, and operational complexity

Improve server orchestration, networking, distributed systems reliability, and infrastructure security posture

Influence technical direction and infrastructure strategy across multiple teams

Partner closely with product, research, and engineering teams to align infrastructure with evolving needs

Own operational excellence, including participation in on-call rotations, incident response, and production readiness

Mentor engineers and raise the overall technical bar of the organization

Contribute to a culture of high ownership, low ego, and thoughtful collaboration

You might thrive in this role if you:8+ years of experience building and operating large-scale infrastructure systems

Deep expertise in Kubernetes and container orchestration at scale

Strong experience designing cloud abstractions and platform infrastructure (AWS, GCP, Azure, or similar)

Proven track record of leading complex technical initiatives across teams

Experience operating highly reliable, secure, and scalable distributed systems

Security engineering experience or security background preferred

Strong systems thinking with the ability to balance velocity, reliability, and simplicity

Comfortable operating in ambiguous, fast-moving environments

Experience mentoring engineers and influencing technical direction

Passion for building infrastructure that enables impactful products

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cloud]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Cloud, Distributed Systems, Kubernetes, AWS, GCP, Azure]]></skills>
    <expirationdate>2026-06-14T17:24:47.957Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Security Observability]]></title>
    <date>2026-04-15T16:54:42.457Z</date>
    <referencenumber>cmpgigyrs02nsv2xqypl2jcj3</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-security-observability-6250780d</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.  

The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. 

 

About the Role

We are seeking a Software Engineer, Security Observability to join our Security team. In this role, you will be responsible for building secure, scalable systems that enhance our security observability infrastructure. Leveraging your strong engineering skills, you will collaborate with cross-functional teams to develop, deploy, and maintain robust software solutions that support our security and detection capabilities.

This role is open to remote employees, or relocation assistance is available to one of our OpenAI offices in San Francisco, Seattle, or New York City.

Due to requirements associated with work this role may support, applicants for this position must be U.S. citizens.

In this role, you will:

Design and develop scalable software systems that facilitate security observability across our infrastructure.

Build and maintain data pipelines that centralize and store security-relevant data from diverse sources.

Proactively improve the resilience and reliability of data systems to ensure high platform availability

Collaborate closely with Detection &amp; Response (D&amp;R) and other security teams to reduce the company’s security risk.

Contribute to data engineering in support of forensic investigations and compliance efforts.

You might thrive in this role if you have:

Strong software engineering experience, with proficiency in programming languages such as Python, Golang, or similar.

A background in infrastructure as code, with experience using tools like Terraform and working with cloud platforms such as Azure.

Experience with building and maintaining data pipelines, particularly for security-related use cases.

A generalist engineering mindset, with the flexibility to pivot between various technical domains such as databases, site reliability engineering (SRE), or security.

The ability to collaborate effectively with security and engineering teams to understand evolving data needs and implement scalable solutions.

A proactive and detail-oriented approach to problem-solving, with a focus on improving security data visibility and forensic capabilities.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At Op]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Python]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Python, Terraform, Cloud, Azure]]></skills>
    <expirationdate>2026-06-14T16:54:42.457Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[ChatGPT Performance Engineer]]></title>
    <date>2026-04-15T16:18:29.991Z</date>
    <referencenumber>cmpgigz9d02rkv2xqysprcltr</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/chatgpt-performance-engineer-bf00138c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamWe bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API.

We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the RoleOpenAI is looking for an experienced Performance Engineer to help us scale the performance, reliability, and efficiency of our systems. In this role, you'll apply deep technical expertise to optimize infrastructure and application-level performance across mission-critical products like ChatGPT and our developer API. You’ll work cross-functionally with teams building core services, training models, and developing real-time user experiences to push our latency, throughput, and cost-efficiency to the next level.

We are looking for engineers who thrive in ambiguous environments, value deep systems understanding, and are motivated by delivering measurable impact. This is a highly technical, individual contributor role focused on root-cause analysis, profiling, instrumentation, and architecture-level performance improvements across our stack.

In this role, you will:Analyze and optimize performance across application, middleware, runtime, and infrastructure layers—networking, storage, Python runtime, GPU utilization, and beyond.

Develop tooling and metrics that provide deep observability into system performance.

Collaborate closely with infra, platform, training, and product teams to identify key performance goals and drive systemic improvements.

Influence architecture and design decisions to prioritize latency, throughput, and efficiency at scale.

Lead investigations into high-impact performance regressions or scalability issues in production.

Drive performance testing strategies and help define SLAs/SLOs around latency and throughput for critical systems.

You might thrive in this role if you:Have 7+ years of experience in software engineering with a strong track record in performance or reliability of high-scale distributed systems.

Are deeply comfortable with performance profiling tools and tracing systems.

Have experience optimizing performance across one or more layers of the stack (e.g., database, networking, storage, application runtime, GC tuning, Python/Golang internals, GPU utilization).

Have a strong understanding of OS internals, scheduling, memory management, and IO patterns.

Have contributed to observability, benchmarking, or performance-focused infrastructure at scale.

Have demonstrated success navigating ambiguity and aligning stakeholders around performance goals.

Value simplicity, rigor, and collaboration when solving complex systems problems.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[ChatGPT, Python, Distributed Systems]]></skills>
    <expirationdate>2026-06-14T16:18:29.991Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Machine Learning Engineer, Personalization, Samba]]></title>
    <date>2026-04-15T14:36:53.494Z</date>
    <referencenumber>cmpgigmyz02hov2xqlu6qtvhk</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/machine-learning-engineer-personalization-samba-b5281942</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

Samba sits at the heart of Spotify’s personalization engine, powering experiences like autoplay, radio, and personalized mixes. We work on complex sequencing and optimization problems—balancing what users love with how Spotify supports creators and the business.

Our team blends machine learning, backend engineering, and data expertise, and collaborates across North America and Europe to deliver impactful, real-time personalization at scale.

What You'll Do

Design and build machine learning systems that optimize ranking and sequencing across personalized surfaces
Develop multi-objective optimization strategies that balance user satisfaction with business outcomes
Collaborate closely with cross-functional partners including product, data science, and engineering teams to align on goals, share context, and deliver impactful solutions
Work across ML, backend, and data layers to bring models into production
Contribute to scalable infrastructure supporting high-volume user interactions
Run experiments and use insights to continuously improve performance
Help shape technical direction and raise the bar for engineering excellence within the team

Who You Are

You have 5+ years of experience in machine learning, data, or backend engineering
You are experienced with production-grade systems and scalable architectures
You have worked on recommendation systems, ranking, or optimization problems
You bring a T-shaped skillset across ML, data, and backend domains
You are comfortable navigating ambiguity and solving complex problems
You care about user experience and measurable impact
You enjoy collaborating across disciplines and geographies

Where You'll Be
This role is based in London or Stockholm
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Machine Learning]]></skills>
    <expirationdate>2026-06-14T14:36:53.494Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Product Design Manager]]></title>
    <date>2026-04-15T01:58:35.117Z</date>
    <referencenumber>cmpgih21003bmv2xqm522rj3i</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/product-design-manager-22d809e1</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Application Technology  team works across research, engineering, product, and design to bring OpenAI’s technology to the world. We serve a diverse audience of users who are already using ChatGPT, Codex, API, etc,  daily in their lives and work.

We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the Role

Design plays a critical role here. To succeed in our mission, it’s crucial that we make our technology intuitive and accessible. We’re hiring a design manager to lead products that are easy to use, beautiful, and push the boundaries of what’s possible. As an early team leader, you’ll have a huge part in shaping our product direction and design culture.

In this role, you’ll collaborate closely with a team of product designers and cross-functional partners to craft the Foundations experiences of today and tomorrow. You’ll lead product designers working on the end-to-end design of new features and improvements across enterprise and consumer mission critical experiences. You’ll help chart our course into the future as we evolve our technology, product, and design paradigms.

This role is based in our San Francisco HQ. We offer relocation assistance to new employees.

In this role, you will:

Lead design and help shape product direction across OpenAI’s Foundational Systems across consumer and enterprise on Payments, Identity &amp; Access, and the developer/research tools that power our ecosystem

Set a high bar for design quality, delivering clear, cohesive experiences that build trust

Manage and grow a team of product designers, fostering a strong culture of craft, ownership, and performance

Drive consistency and alignment across complex, interconnected systems

Identify and prioritize shared capabilities to unlock scale across the OpenAI ecosystem

Partner closely with engineering, product, and research to shape both long-term strategy and near-term execution

Use research and insights to deeply understand users and continuously improve the product

You might thrive in this role if you:

Have a passion for turning complexity into usable, beautiful experiences

Are a strong design leader comfortable with bringing your point of view to a team

Can coach a team to ship fast while elevating craft and quality. You’re comfortable diving into the details (pixels, edge cases, content) and guiding your team to maintain that level of care as they ship quickly.

Are ready to rethink the fundamentals from first principles. Many UI patterns were built for a different era and you’re excited to question those assumptions and design interactions that feel native to AI.

Have a strong portfolio showcasing excellence in designing and shipping at scale, with strengths in user-centered thinking, craft, systems design, and innovative product patterns.

Have 5+ years of experience managing and growing high-performing product design teams (5–10 designers), with a focus on both craft and systems thinking

Are comfortable operating across multiple altitudes- from defining design details to shaping system architecture and long-term strategy

Have experience working on technical, highly cross-functional products, partnering closely with engineering, product, and infrastructure teams. In general, you are excited about building collaborative relationships with many partners!

Are a systems thinker, able to bring clarity and cohesion across fragmented surfaces and evolve them into unified, scalable experiences.

Are excited by ambiguous, high-leverage problems and can turn complexity into clear, actionable direction

Possess excellent communication and storytelling skills, and can align teams around a shared vision

Get excited about shaping how AI-first products should look and behave

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and quali]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[ChatGPT]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[ChatGPT, Codex]]></skills>
    <expirationdate>2026-06-14T01:58:35.117Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Deployment Engineer | Codex]]></title>
    <date>2026-04-14T17:30:47.639Z</date>
    <referencenumber>cmpgih20p03bkv2xq055y84dt</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-deployment-engineer-codex-b68e2fc2</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Paris]]></city>
    <country>FR</country>
    <description><![CDATA[About the team

The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.

About the Role

We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.

This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.

In this role, you will:

Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.

Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.

Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.

Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.

Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.

Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.

Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.

Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.

You’ll thrive in this role if you:

Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.

Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.

Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.

Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.

Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.

Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.

Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.

Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, includi]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, SDLC]]></skills>
    <expirationdate>2026-06-13T17:30:47.639Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Foundations Search]]></title>
    <date>2026-04-14T15:52:27.521Z</date>
    <referencenumber>cmpgih1v003aov2xqtymgvh46</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-foundations-retrieval-fa2b76c7</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

The Foundations Research team works on high-risk, high-reward ideas that could shape the next decade of AI. Our goal is to advance the science and data that enable our training and scaling efforts, with a particular focus on future frontier models.  Pushing the boundaries of data, scaling laws, optimization techniques, model architectures, and efficiency improvements to propel our science. 

The Search team sits within Foundations, building agentic search by co-designing model–system interfaces with the core search stack (serving, indexing, retrieval) to translate model intent into reliable, real-world actions. Operating at the frontier of AI and information retrieval, the team develops large-scale systems that transform and index vast corpora, enabling models to reason over global knowledge and act dependably. In close partnership with researchers, we rapidly bring modeling breakthroughs into production and redefine how intelligent systems discover, retrieve, and synthesize information at planetary scale.

About the Role

We’re looking for a Software Engineer focused on building and scaling retrieval systems. You’ll work with a team of researchers and engineers to develop infrastructure that enables models to retrieve and act on the right information at the right time. This includes designing and operating indexing systems, retrieval pipelines, and serving layers.

This work supports retrieval across OpenAI products and research, with direct impact on system performance, reliability, and scale.

Responsibilities

Build and scale retrieval infrastructure across indexing, serving, and query execution.

Develop low-latency, high-throughput systems for real-time model interaction.

Partner with research to productionize embedding and retrieval techniques.

Support dense, sparse, and hybrid retrieval pipelines.

Own system performance, reliability, and observability at scale.

Collaborate across Pretraining, Inference, and Product teams to integrate retrieval end-to-end.

Contribute to model - system interfaces for agentic workflows.

You Might Thrive in This Role If You Have

Experience building and scaling distributed systems.

Background in search, retrieval, or indexing systems.

Familiarity with embedding-based or ML-powered systems.

Experience with performance optimization and production reliability.

Ability to work across ML and systems boundaries.

First-principles thinking in ambiguous problem spaces.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Distributed Systems]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Distributed Systems]]></skills>
    <expirationdate>2026-06-13T15:52:27.521Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Workday Engineer]]></title>
    <date>2026-04-14T15:12:00.196Z</date>
    <referencenumber>cmpgih1xw03b0v2xqpp8y5s0n</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/workday-engineer-38989b84</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI's People team helps hire, develop, and support the people building safe and beneficial AGI. Within that team, People Systems builds the technical foundation that enables our HR, recruiting, payroll, benefits, and performance operations to scale with quality, speed, and rigor.

We work at the intersection of HR systems, software engineering, and internal tooling. Our goal is not just to keep core systems running, but to build durable technical leverage for the company.

About the Role

We're hiring a Workday Engineer to help design, build, and operate the systems that power critical people workflows at OpenAI.

This is a highly technical role for someone who combines strong Workday expertise with real engineering fluency. You'll build reliable integrations, improve system architecture, automate complex workflows, and help connect Workday to internal tools, external platforms, and emerging AI-driven systems.

You should be comfortable going beyond configuration work. We're looking for someone who can reason through ambiguous systems problems, write and debug technical solutions, work effectively in Git-based environments, and use modern developer workflows, including CLI-driven tooling, to build and operate with speed and discipline.

You'll partner closely with cross-functional teams across People, Finance, Security, and Engineering, including our People Innovations team, to build systems that are secure, scalable, and practical. Some work will involve improving mature production infrastructure; some will involve building entirely new workflows and capabilities from scratch.

In this role, you will

Design, build, and maintain Workday integrations, applications, and workflow automations across domains such as payroll, benefits, recruiting, performance, and case management

Improve the reliability, quality, and scalability of People systems through strong engineering, testing, and operational practices

Build technical solutions that connect Workday with internal platforms, external vendors, and AI-powered tooling

Contribute to more agentic internal workflows by helping design systems that combine HR data, automation, orchestration, and intelligent tooling

Use Git-based development practices, code review, and structured change management to deliver safely in a fast-moving environment

Use CLI-based tools and developer workflows to build, test, troubleshoot, and support production systems efficiently

Partner with stakeholders across People, Finance, Security, and Engineering to translate business needs into durable technical solutions

Establish and raise standards for observability, security, supportability, and long-term maintainability across the People systems stack

You might thrive in this role if you have

5-10 years of experience in Workday engineering, integrations, platform automation, or adjacent systems engineering roles

Strong hands-on experience with Workday technologies such as EIB, Studio, Cloud Connect, Extend, reporting, calculated fields, security, and business process design

A track record of building technical solutions beyond administration or configuration alone, including automation, scripting, debugging, and systems design

Comfort working in Git-based environments with modern software development practices

Strong fluency with CLI-based workflows and developer tools

Experience designing and supporting production integrations with a high bar for reliability, security, and data quality

Strong problem-solving skills and the ability to work through ambiguous technical and operational challenges

The ability to work effectively with both technical and non-technical partners

Interest in agentic systems, AI-enabled internal tooling, or LLM-powered workflow design

Nice to have

Experience integrating Workday with finance systems, identity systems, recruiting tools, case management platforms, or internal developer platforms

Experience with observability, alerting, and production support for business-critical workflows

Experience building internal tools or automation frameworks in high-growth environments

Familiarity with secure systems design and governance in environments handling sensitive employee data

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Workday]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Workday, Cloud]]></skills>
    <expirationdate>2026-06-13T15:12:00.196Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Machine Learning Engineer, Personalization, Samba]]></title>
    <date>2026-04-14T13:22:22.461Z</date>
    <referencenumber>cmpgigmz702hqv2xqvqh1aeas</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/machine-learning-engineer-personalization-samba-95c2c739</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

Samba sits at the heart of Spotify’s personalization engine, powering experiences like autoplay, radio, and personalized mixes. We work on complex sequencing and optimization problems—balancing what users love with how Spotify supports creators and the business.

Our team blends machine learning, backend engineering, and data expertise, and collaborates across North America and Europe to deliver impactful, real-time personalization at scale.

What You'll Do

Design and build machine learning systems that optimize ranking and sequencing across personalized surfaces
Develop multi-objective optimization strategies that balance user satisfaction with business outcomes
Collaborate closely with cross-functional partners including product, data science, and engineering teams to align on goals, share context, and deliver impactful solutions
Work across ML, backend, and data layers to bring models into production
Contribute to scalable infrastructure supporting high-volume user interactions
Run experiments and use insights to continuously improve performance
Help shape technical direction and raise the bar for engineering excellence within the team

Who You Are

You have 5+ years of experience in machine learning, data, or backend engineering
You are experienced with production-grade systems and scalable architectures
You have worked on recommendation systems, ranking, or optimization problems
You bring a T-shaped skillset across ML, data, and backend domains
You are comfortable navigating ambiguity and solving complex problems
You care about user experience and measurable impact
You enjoy collaborating across disciplines and geographies

Where You'll Be

We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.
This team operates within the Eastern Standard time zone for collaboration.

The United States base range for this position is $148,901- $212,716 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Machine Learning]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Machine Learning]]></skills>
    <expirationdate>2026-06-13T13:22:22.461Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Account Director, Large Enterprise (FSI)]]></title>
    <date>2026-04-14T00:32:42.803Z</date>
    <referencenumber>cmpgih1tv03agv2xqq9w4w8ue</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/account-director-large-enterprise-fsi-c2cabe3c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Singapore]]></city>
    <country>ES</country>
    <description><![CDATA[About the team

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy.

You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI.

This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you'll:

Manage a small number of key accounts, developing and executing strategies for a comprehensive account plan

Lead our enterprise prospects’ journeys from consideration to successful deployment

Partner with solutions and research engineering to build and execute complex customer programs and projects

Own a consumption revenue target

Manage consumption revenue forecasts

Analyze key account metrics to create reports and provide insights to internal and external stakeholders

Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies

Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering

Support the recruitment and onboarding of other teammates

Support the development of company culture

We're seeking someone with experience including:

10+ years selling platform-as-a-service and/or software-as-a-service to large Financial Services institutions in South East Asia

Familiarity with Financial Services industry trends

Deep understanding of Financial Services institutions' AI transformation priorities and challenges

Achieving revenue targets &gt;$2M per year for more than 3 years

Designing and executing complex deal strategies

Supporting the growth of fast-growing, high-performance companies

Working directly with c-level executives

Communicating technical concepts to customers and internal stakeholders

Leading high-visibility customer events (CAB, conferences, product launches, etc.)

Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence

You might thrive in this role if you: 

Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor.

Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future.

Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. 

Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions.

Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristi]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Product Management]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Product Management]]></skills>
    <expirationdate>2026-06-13T00:32:42.803Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Manufacturing Test Engineer, AI Compute Infrastructure - Stargate]]></title>
    <date>2026-04-13T23:50:38.957Z</date>
    <referencenumber>cmpgih1xe03awv2xqzon69dzd</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/manufacturing-test-engineer-ai-compute-infrastructure-stargate-d7d96940</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote - US]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI’s Stargate organization is building the physical infrastructure required to power frontier AI systems at massive scale. The team operates across the full lifecycle of infrastructure development and operations — from hardware, manufacturing, and partner readiness through deployment, bring-up, and sustained production operations. That end-to-end ownership model is a core part of how Stargate is being built.

This is not a traditional, heavily layered hardware organization. Stargate is intentionally staying lean and is optimizing for hands-on operators who can work across design, manufacturing, and deployment boundaries, influence partners quickly, and prevent operational issues before they become system-level failures.

About the Role

As a Manufacturing Test Engineer on Stargate, you will own the development of manufacturing test strategies, tools, and execution practices for critical AI infrastructure hardware. You will work at the intersection of hardware engineering, manufacturing partners, infrastructure systems, and deployment teams to ensure that hardware shipped into OpenAI environments is testable, reliable, and production-ready at scale.

In this role, you will translate product and system requirements into manufacturing test coverage, drive the design of test stations and automation, and partner closely with suppliers and contract manufacturers to identify, root-cause, and eliminate yield issues and field escapes. This role is especially important in an environment where OpenAI depends on external partners and needs technical operators who can independently verify quality, challenge assumptions, and enforce repeatable, controlled execution.

Key Responsibilities

Develop and deploy manufacturing test solutions in collaboration with OpenAI’s global manufacturing partners.

Define test requirements with NPI, hardware, and systems teams; drive Design for Test (DFT) to ensure testability and manufacturability.

Maintain stable test operations for sustaining products, including deployment of software, firmware, and hardware updates to manufacturing test systems.

Build and maintain automated test scripts to support functional testing, diagnostics, and new feature validation.

Lead initiatives to improve test coverage, reduce test time, and lower manufacturing cost while maintaining product quality.

Identify, analyze, and resolve manufacturing yield issues and field escapes; drive root cause and corrective actions to closure.

Design, validate, and deploy test stations, fixtures, and tooling required for scalable production testing.

Partner with NPI, manufacturing and supplier teams to ensure consistent and reliable test execution across sites.

Develop and maintain documentation for test processes, procedures, and system configurations to ensure standardized practices.

Qualifications

Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience.

5+ years of experience in hardware engineering or manufacturing test engineering.

Experience developing and integrating manufacturing test systems using custom electronics, fixturing, and instrumentation.

Experience managing test systems and processes to improve manufacturability and production quality.

Preferred Qualifications

Experience testing server, networking, or data center hardware, including board and system-level functional testing in manufacturing.

Experience with Python or Shell scripting, and familiarity with Linux-based environments.

Knowledge of test station bring-up and validation methodologies (e.g., gage R&amp;R, correlation, calibration).

Ability to develop comprehensive test plans based on product specifications and execute structured test procedures.

Experience troubleshooting complex manufacturing and system-level issues in collaboration with cross-functional teams.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including ]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Operators]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Operators, Python, Linux]]></skills>
    <expirationdate>2026-06-12T23:50:38.957Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Data Center Security Engineer]]></title>
    <date>2026-04-13T22:09:33.283Z</date>
    <referencenumber>cmpgih1yc03b4v2xqsyari5ph</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/data-center-security-engineer-161c876d</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

Security is foundational to OpenAI’s mission of ensuring that artificial general intelligence benefits all of humanity. As OpenAI builds and operates increasingly powerful systems, security helps make that progress durable, trustworthy, and resilient.

The Security team protects OpenAI’s technology, people, and products, but our role goes beyond defense alone. We help enable the infrastructure, research, and product work that powers frontier AI, bringing deep technical judgment and hands-on operational execution to some of the most important systems being built today. Our work is grounded in impact, pragmatism, and preparing for the security challenges that come with increasingly capable technology.

About the Role

We are seeking an experienced and highly technical Data Center Security Engineer to help secure the infrastructure behind OpenAI’s rapidly expanding data center footprint. This is a chance to work on high-consequence systems at the intersection of cybersecurity, critical infrastructure, and advanced AI, where strong technical judgment and careful execution have direct, lasting impact.

In this role, you will operate with substantial agency and ownership alongside a small team of data center security experts, driving security architecture, control validation, and defensive improvements across multiple, diverse environments, with particular emphasis on IT, Enterprise, ICS and Operational Technology (OT) networking. You will help define and raise the security bar for infrastructure programs already in flight while shaping how future deployments are secured from the start.

This role's preferred location is one of our OpenAI offices in San Francisco, Seattle, or New York City and relocation assistance is available. We are also open to considering candidates who are remote.

In this role, you will:

Design and implement security controls that protect data center infrastructure across a growing global footprint, with particular focus on both OT and IT networking environments.

Partner closely with a small team of data center security specialists, as well as engineering, operations, and broader security teams, to deliver resilient and practical security outcomes.

Secure OT and IT networking environments through strong segmentation, access control, monitoring, hardening, and connectivity patterns suited to critical infrastructure.

Contribute to security architecture and design reviews for data center systems, including OT and IT networking, network segmentation, identity and access management, provisioning workflows, hardware and firmware trust boundaries, and operational safeguards.

Perform recurring audits, control assessments, and validation activities across OT and IT networking environments to ensure continued compliance against defined controls.

Drive ongoing evidence collection, gap tracking, and remediation follow-through so control deficiencies are identified quickly and closed durably.

Help define measurable security standards, control objectives, audit procedures, evidence requirements, and validation mechanisms for infrastructure and facility security programs.

Support security monitoring, incident response, and post-incident improvement efforts for data center, OT, and IT networking environments.

Work with suppliers, partners, and internal stakeholders to evaluate and reduce risks associated with third-party hardware, firmware, software, and operational dependencies.

Continually evolve the security of our data centers alongside changes in adversary activity, infrastructure complexity, and the increasing demands of OpenAI’s systems.

You might thrive in this role if you have:

15+ years of experience in security, including meaningful hands-on experience securing large-scale infrastructure, industrial environments, or data center systems.

Deep expertise securing OT and IT networking environments in critical infrastructure settings, including segmentation strategies, remote access controls, asset visibility, and compensating controls for operational constraints.

Experience building audit or assurance programs that validate ongoing compliance with defined security controls, especially across OT and IT networking environments, rather than relying on one-time point-in-time reviews.

Strong cross-functional collaboration skills including the ability to partner effectively with internal and external stakeholders while operating with a high degree of autonomy.

Strong knowledge of security engineering and operations across network security, IAM and PAM, hardening, provisioning, monitoring, incident response, and secure lifecycle practices.

Experience protecting hyperscale, colocation, or hybrid infrastructure environments against sophisticated adversaries.

Familiarity with control and governance frameworks such as NIST, ISO 27001, or SOC 2, and the ability to translate them into concrete technical and operational requirements.

The ability to operate as a high-ownership i]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-12T22:09:33.283Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Global Associate Director, Experiential & Content Production]]></title>
    <date>2026-04-13T20:28:19.525Z</date>
    <referencenumber>cmpgigmtw02giv2xq5amz0sbw</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/global-associate-director-experiential-content-production-95560966</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[Spotify’s Global Experiential and Content Production team is seeking an Associate Director with well-rounded content and event production experience to join our team.

While this role sits within Global Communications, the impact is company-wide. You will support multiple functions across the business including Communications, Ads, Government Affairs, Product, Music, Creator, Podcast and Audiobooks teams—to bring their initiatives to life through strategic events and content.

Importantly: this team works alongside Spotify’s Brand Experiential Marketing team. That team owns global consumer and brand marketing events. This team owns a defined set of experiential programs tied to communications priorities, creator/industry relationships, policy moments, company events, VIP/Influencer programming, thought leadership platforms, and other business-driven needs - not all events across Spotify.

As an Associate Director, you will play a key role in delivering high-impact creative content and managing live event production. You will build scalable solutions to maximize the success of these projects and support GECP’s Director in the development, management, and execution of our team objectives and project goals. This is a senior creative and production role, guiding both the experiential work and content creation. 

The role requires significant travel (domestic and international) up to 70%

What You'll Do

Lead the planning and delivery of live experiences including corporate programs, industry activations, creator and partner events, policy engagements, internal events, and VIP experiences
Shape end-to-end production, from concept through execution, ensuring high-quality creative and operational delivery
Bring strong expertise in stage production, including lighting, audio, and production design, to elevate each experience
Manage vendor and agency partnerships, selecting the right collaborators based on scale, complexity, and creative needs
Oversee content capture shoots, partnering with internal stakeholders from early development through on-site execution
Guide pre- and post-production workflows to deliver content on time and within budget
Align teams on creative direction, ensuring clarity across visual storytelling and editorial decisions
Build and manage budgets, timelines, and approval processes across multiple concurrent projects
Navigate legal and licensing requirements related to visuals, talent, and music usage
Partner with cross-functional senior leaders to bring ideas to life and solve complex business challenges
Contribute to building scalable processes, tools, and workflows across the team
Mentor and support producers while leading large-scale, high-visibility productions

Who You Are

You have 10+ years of experience in event, show, and content production
You are experienced in leading large-scale live productions and delivering high-quality creative outcomes
You know how to translate business goals into engaging, well-crafted experiences
You have a strong understanding of content production workflows, including pre- and post-production processes
You are experienced in managing agencies, vendors, and cross-functional stakeholders across global teams
You have a deep understanding of staging, lighting, fabrication, and production design
You are comfortable managing budgets, contracts, and financial reconciliation
You communicate clearly and can navigate complex conversations with a range of stakeholders
You bring a global mindset and can collaborate effectively across regions and time zones
You care about building inclusive, collaborative environments and supporting diverse teams and partners
You are able to balance creative thinking with strong organization and prioritization skills

Where You'll Be

This role is based in New York City
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 2-3 times per week.

The United States base range for this position is $106,147 - $228, 781, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, 23 paid days off, 13 paid flexible holidays.
 
 
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the intervi]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Approval Processes]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Approval Processes]]></skills>
    <expirationdate>2026-06-12T20:28:19.525Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Strategic Risk Analyst, Behavioral & Psychological Risk]]></title>
    <date>2026-04-13T16:23:57.634Z</date>
    <referencenumber>cmpgih1re03a8v2xq759s1b64</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/strategic-risk-analyst-behavioral-psychological-risk-1ff0c015</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the team

The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity.

We are building a horizontal “radar” for AI abuse and strategic risk—correlating internal signals, external intelligence, and real-world events into clear, actionable priorities for OpenAI’s safety and product decision-makers.

About the Role

As a Strategic Risk Analyst, Behavioral &amp; Psychological Risk, you will bring deep expertise in human behavior to our central view of risk across OpenAI’s products and platforms.

You will analyze how users think, feel, and behave in interaction with AI systems—especially in high-risk contexts such as self-harm, manipulation, coercion, and influence—and translate these insights into decision-ready risk assessments, mitigation strategies, and product guidance.

This role bridges clinical/behavioral expertise and intelligence analysis, turning psychological signals and patterns into structured judgments, early indicators, and actionable recommendations. A key part of this role is proactively identifying where analytical insight is most needed, anticipating emerging product, policy, and safety questions, and focusing efforts on analyses that shape critical decisions.

You will partner closely with investigators, engineers, policy, and trust &amp; safety teams to shape how we understand and mitigate potential risks in human-AI interactions.

In this role, you will

Develop insights into how AI systems are used in complex or high-risk situations (e.g., self-harm, suicidal ideation, substance-use escalation, and threats of violence), identifying recurring patterns and emerging trends that help guide product, safety, and policy decisions.

Synthesize behavioral, psychological, and intelligence signals into clear narratives about user needs, system dynamics, and potential areas of risk or vulnerability.

Produce decision-ready briefs and assessments that inform product, safety, and policy decisions.

Develop and refine behavioral risk frameworks, taxonomies, and indicators (e.g., severity models, escalation pathways, psychological harm categories).

Identify early indicators of emerging issues and assess whether observed patterns represent meaningful safety concerns, helping prioritize and inform appropriate mitigations.

Assess the effectiveness of mitigations—such as product changes, safeguards, and guidance—using behavioral evidence and real-world outcomes.

Contribute to incident reviews and post-incident analysis by bringing a behavioral perspective to root cause analysis and prevention.

Bridge research and operations, translating academic and clinical literature into practical safeguards, policies, and product decisions.

You might thrive in this role if you:

Bring 5+ years in forensic, clinical, trust and safety, or applied academic settings assessing risk of violence, self-harm, or addiction, with strong mixed-methods research skills.

Have familiarity with AI systems, language models, or human-AI interaction dynamics, and are interested in applying psychological expertise to emerging AI risks (experience working on AI safety, trust &amp; safety, or related domains is a plus).

Can translate human behavior into structured intelligence, connecting individual cases to system-level patterns and risks.

Are comfortable working across qualitative and quantitative inputs, including casework, interaction data, research literature, and metrics.

Have experience designing or using risk frameworks, taxonomies, or evaluation methods to structure ambiguity.

Communicate clearly across disciplines, turning complex behavioral insights into concise, actionable recommendations.

Thrive in fast-moving, ambiguous environments, and can prioritize effectively under uncertainty.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportuni]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-12T16:23:57.634Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Fullstack Engineer - Data Platform]]></title>
    <date>2026-04-13T14:53:25.426Z</date>
    <referencenumber>cmpgignbi02kcv2xqqinlswzy</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-fullstack-engineer-data-platform-dcda6248</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[Mission Statement

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

About the Team

You’ll join the Data Platform within the Platform mission, where we build the foundations that power how Spotify understands user behavior at scale. Our team owns the SDKs used across iOS, Android, and web to collect user behavior data, and we build the tools and APIs that make instrumentation seamless for developers. Working closely with engineers, data scientists, and product partners, we enable teams across Spotify to make better, data-informed decisions that shape the listening experience for millions.

What You'll Do 

Build and evolve internal tools that help developers instrument and understand user behavior data
Collaborate with engineers, data scientists, designers, and product managers to create intuitive and scalable developer experiences
Design and maintain APIs that integrate smoothly with Spotify’s web clients, including desktop and TV platforms
Evolve and maintain JavaScript SDKs to support new capabilities within the user behavior infrastructure
Identify friction points in adoption and integration, and continuously improve the developer experience
Contribute to backend systems and services that support data collection and processing at scale
Take part in an on-call rotation to support the reliability and performance of the platform

Who You Are 

You are experienced working across frontend, backend, and infrastructure in a fullstack environment
You have strong experience with JavaScript and TypeScript, including modern development, testing, and debugging practices
You are comfortable building applications using React and working with backend systems in Java
You care deeply about developer experience and enjoy building intuitive, reliable APIs and tools
You have a quality mindset and think holistically about software development, from coding to deployment and monitoring
You have experience building user-friendly web applications and understand what makes a great user experience
You are curious and collaborative, and enjoy working with cross-functional partners to solve complex problems
You have exposure to areas such as GCP, Kubernetes, gRPC, protobuf, or large-scale data pipelines
You are comfortable leveraging AI tools (such as Claude Code) to enhance development workflows

Where You'll Be 
This role is based in London
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Android]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Android, APIs, JavaScript, TypeScript, React, Java, GCP, Kubernetes, Claude Code]]></skills>
    <expirationdate>2026-06-12T14:53:25.426Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Android Engineer - Data Platform]]></title>
    <date>2026-04-13T14:42:55.175Z</date>
    <referencenumber>cmpgign5c02j0v2xqq1kv76m7</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-android-engineer-data-platform-13d701d7</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[Mission Statement
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

About the Team
You’ll join the Data Platform within the Platform mission, where we build the foundations that help Spotify teams better understand and serve our listeners. Our work enables engineers and data scientists to explore user behavior at scale and make smarter, faster decisions.

As part of a collaborative and distributed engineering team, you’ll help shape the tools and SDKs that power data-driven product development across Spotify.

What You'll Do 

Build and evolve Android SDKs that enable engineers and data scientists to analyze user behavior at scale
Contribute to a high-performing, autonomous team of engineers, designers, and product managers
Develop scalable, testable, and maintainable code used across multiple teams and projects
Help define and improve Android engineering practices across Spotify
Collaborate closely with platform and data teams to deliver impactful solutions
Drive innovation and continuously improve developer productivity and experience
Support the broader Android community at Spotify and influence technical direction

Who You Are 

You are experienced in building Android applications and SDKs at scale
You have a deep understanding of modern Android development and tooling
You know how to write readable, maintainable, and performant code in Kotlin
You have some working experience with C++
You are comfortable supporting iOS if the need arises
You care about quality, testing practices, and performance
You are comfortable working in a collaborative, cross-functional environment
You have experience working with large-scale systems or data-heavy environments
You are curious, proactive, and eager to learn new technologies and domains
You are familiar with developer tooling, build systems, or data-related technologies

Where You'll Be 
This role is based in London
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Android]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Android, Kotlin]]></skills>
    <expirationdate>2026-06-12T14:42:55.175Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Agent Evaluation and Quality]]></title>
    <date>2026-04-13T01:32:26.300Z</date>
    <referencenumber>cmpgihjb803pkv2xqi5hy9ilc</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-agent-evaluation-and-quality-d1cb5693</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the RoleAs a Software Engineer on the Agent Quality team at Cursor, you’ll build the measurement, evaluation, and feedback-loop infrastructure that makes the Cursor core agent reliably better over time.

This role sits at the intersection of product, data, and engineering: you’ll instrument what matters, help define how we judge quality, build pipelines and tooling to analyze agent behavior at scale, and partner closely with research, product, and infrastructure teams to turn insights into improvements.

Your impact will compound across every Cursor product built on the shared harness—and across high-stakes decisions around model choice, quality, and cost.

What you’ll work onDesigning and building best-in-class AI evaluation system: curated datasets, offline replay, scorers / judges, regression alerts, and dashboards.

Designing feedback loops from real usage: collecting, cleaning, and interpreting user signals to inform model and harness changes.

Developing analysis tooling and workflows for debugging agent behavior: deep dives on failure modes, clustering themes, and surfacing actionable insights.

Improving reliability and guardrails by making quality measurable and operational: defining “good/bad/degraded” sessions, alerting, and triage primitives.

You may be a fit ifYou’ve built and operated evaluation or measurement systems, such as AI evals, experimentation, ranking/relevance, or search quality. You can turn ambiguous “quality” questions into concrete metrics, pipelines, and decisions.

You have strong data acumen, and can collaborate effectively with data scientists and researchers.

You have taste and strong opinions on model and agent behaviors. You stay up-to-date and informed on emerging research and industry trends.

You have strong software engineering fundamentals and enjoy shipping production systems.

ApplyingIf there appears to be a fit, we'll reach to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.

#LI-DNI]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Cursor]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Cursor]]></skills>
    <expirationdate>2026-06-12T01:32:26.300Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer, Infrastructure - Analytics Platform]]></title>
    <date>2026-04-11T00:55:07.116Z</date>
    <referencenumber>cmpgih1m1039av2xq1qnzno6i</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-infrastructure-analytics-platform-5b76eea9</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the TeamThe Scaling team designs, builds, and operates critical infrastructure that enables research at OpenAI.

Our mission is simple: accelerate the progress of research towards AGI. We do this by building core systems that researchers rely on - ranging from low-level infrastructure components to research-facing custom applications. These systems must scale with the increasing complexity and size of our workloads, while remaining reliable and easy to use.

About the RoleWe’re looking for an experienced software engineer to design, develop, and operate production-critical software infrastructure end to end across its full production lifecycle.

This role is centered on backend / systems engineering, with emphasis on low-level performance, scalability, distributed systems, and hands-on development and operation of critical services at scale. You’ll take ambiguous problems, turn them into concrete plans, ship pragmatic solutions quickly, and improve them through production feedback and iteration.

This is not a general Python backend role. We’re specifically looking for strong systems experience in Rust or C++, especially in performance-sensitive infrastructure.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:Own critical infrastructure across design, implementation, rollout, operation, and iteration.

Build and operate performant backend systems in Rust or C++ that support core research workflows.

Design and improve distributed data and serving systems, including tradeoffs around partitioning, replication, consistency, retries, backpressure, and failure isolation.

Debug real production bottlenecks across latency, throughput, contention, hot spots, and overload behavior.

Operate business-critical services through on-call, incidents, postmortems, observability, alerting, safe rollouts, rollback plans, and zero-downtime migrations.

Improve reliability of services running on Kubernetes, including resource tuning, failure handling, and production readiness.

Partner closely with engineers and researchers to deliver fast, reliable, useful systems.

Raise the bar through strong technical judgment, ownership, and follow-through.

You might thrive in this role if you have:A track record of owning operationally critical systems end to end and delivering outcomes in ambiguous environments.

Strong hands-on experience building performance-sensitive backend systems in Rust or C++.

Comfort working below typical service abstractions, including concurrency, async execution, memory behavior, serialization, I/O, networking, profiling, and failure analysis.

Experience designing, building, or operating distributed systems or distributed databases at meaningful scale.

Preferably, experience with ClickHouse-like systems or infrastructure for analytics, telemetry, logging, search, ingestion, storage, or query execution.

Hands-on experience with production infrastructure and delivery tooling, including Kubernetes, Terraform or equivalent infrastructure-as-code tooling, Prometheus or equivalent observability / metrics tooling, and CI/CD pipelines or equivalent release automation.

Hands-on experience operating production-critical systems across the full lifecycle, including incidents, observability, alerting, safe rollouts, rollback plans, and recurrence prevention.

Strong judgment in balancing engineering quality, speed, risk, and business impact.

A habit of shipping practical first versions and improving them through production feedback.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Distributed Systems]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Distributed Systems, Python, Rust, Kubernetes]]></skills>
    <expirationdate>2026-06-10T00:55:07.116Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Full Stack Engineer - Audiobooks]]></title>
    <date>2026-04-10T09:54:09.381Z</date>
    <referencenumber>cmpgignah02k4v2xq62xwct67</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-full-stack-engineer-audiobooks-92cfd14c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[Spotify for Authors (SFA) is the creator platform for the audiobook industry — a web application that gives publishers, authors, and narrators tools to manage their catalog, track performance, and distribute content on Spotify. We're scaling toward 100,000 users across a React/TypeScript frontend, Java backend services, and data pipelines that feed into Spotify's broader audiobook ecosystem.

SFA connects to Spotify's highest-priority bets: expanding audiobook access, building content creation tools, and shaping discovery surfaces. We operate with a "short toes" philosophy — contribution has no borders, quality is shared, and we use modern tools (including AI) to reduce toil and amplify creativity.

What You'll Do 

Backend focused experience with hands-on frontend experience. 

Build and evolve features end-to-end across a React/TypeScript frontend and Java backend services that power the SFA platform at scale

Use AI-assisted development tools as a core part of your workflow for code generation, automated testing, and AI-powered code review

Help your squad build effective AI-assisted practices

Solve scalability, reliability, and performance challenges as SFA grows toward 100K users

Collaborate closely with engineers, product managers, and designers to ship impactful experiences for audiobook creators

Author and collaborate on technical RFCs to document approaches and architectural trade-offs

Contribute to technical direction and help shape how we build within the SFA product area

Support and grow the team through mentorship, knowledge sharing, and thoughtful communication

Who You Are 

You have strong experience building web applications across the stack. Typescript and Java knowledge preferred.

T-shaped: deep in your specialty, intensely curious about the rest.

You think product-first while building tech solutions

You're comfortable designing and operating distributed systems and microservices architectures

You actively use AI tools (agents, code assistants, AI-powered reviews, generative prototyping) in your daily work

You break ambiguous problems into clear, executable milestones and bias toward shipping

You're comfortable with modern infrastructure practices (CI/CD, containers, cloud platforms) and care about observability

You have excellent communication skills and default to over-communication in a distributed team

Where You'll Be 
Distributed workforce, EU region. We collaborate across European and Eastern US time zones

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[React]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[React, TypeScript, Java, Distributed Systems, Microservices, CI/CD, Cloud]]></skills>
    <expirationdate>2026-06-09T09:54:09.381Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Industrial Security CSSO/CPSO, Washington DC]]></title>
    <date>2026-04-09T16:21:36.933Z</date>
    <referencenumber>cmpgih1va03aqv2xq5avh1i7f</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/industrial-security-lead-washington-dc-57977379</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Washington]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

The Corporate Security team is responsible for the security and protection of all OpenAI employees and executives. We are committed to creating and maintaining a secure environment that allows our team members to focus on their work without fear of harm or disruption.

About the Role

OpenAI is seeking an Industrial Security CSSO/CPSO to help develop and scale a world-class industrial security program across multiple locations, including Washington DC and San Francisco.  In this role, you will be responsible for building and managing secure facilities that enable work with Government partners , overseeing government-required personnel security programs, and ensuring strict compliance with U.S. government regulations. You will collaborate closely with government partners, contractors, and internal teams to safeguard sensitive projects and R&amp;D initiatives.

This role is ideal for someone who combines deep expertise in US Government industrial security programs with hands-on program execution and experience.

In this role, you will:

Support tactical operations of the OpenAI’s industrial security program, partnering closely with GRC, facilities, and leadership to ensure compliance with NISPOM, ICD 705, DoD/IC regulations, and other federal requirements to enable rapid execution on OpenAI for Government’s strategic programs.

Support multi-year security roadmaps to support OpenAI Public Sector projects, accredited facilities, and sensitive R&amp;D initiatives, balancing the agile nature of our business with the timelines and requirements associated with US Government contracts.

Be on the team supporting classified facilities, SOPs, Fixed Facility Checklists, and related documents.

Participate in construction and accreditation efforts in partnership with government agencies, design engineers, and contractors.

Ensure facilities meet and exceed required standards, with ongoing audits and readiness checks.

Support all aspects of personnel security management associated with OpenAI Public Sector efforts, working directly with government partners to ensure compliance.

Expert knowledge of using government databases such as DISS, NBIS, and Scattered Castles.

Support implementation and operations of insider threat and continuous evaluation programs.

Manage security onboarding, required reporting and approvals, and personnel readiness efforts to ensure staff can support OpenAI Public Sector efforts.

Liaison with Government security representatives, ensuring smooth communication and compliance with clearances and facilities.

Support all federal inspections, audits, and incident investigations, maintaining a best-in-class compliance record.

Manage sensitive material control, secured communications COMSEC, and reporting requirements. 

Conduct risk assessments of relevant operations and drive mitigation initiatives.

Develop advanced security training.

Manage related OPSEC programs and Program Protection Plans.

You’ll thrive in this role if you:

Have 5+ years of experience in industrial security.

Have an active TS/SCI security clearance Full Scope Polygraph.

Have expert knowledge of the 32 CFR Part 117, Intelligence Community Directives and Special Access Programs. This is relative to personnel security, facility accreditations and operations, and classified communications.

Have experience as an FSO, CSSO, or CPSO with DoD, IC and SAP customers.

Have exceptional communication skills and executive presence, with experience briefing leadership and government officials.

Preferred:

Background in fast-paced AI, R&amp;D, or high-tech environments.

Advanced certifications such as ISP®, CPP®, or SPeD.

Bachelor’s degree in Security Management, Criminal Justice, or similar

Experience using Security Controls, Threat Switch, SIMS or similar software is preferred.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chanc]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-08T16:21:36.933Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Engineering Manager – Messaging Platform & Tooling]]></title>
    <date>2026-04-09T14:59:54.669Z</date>
    <referencenumber>cmpgigmqt02fsv2xq15eqrevk</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/engineering-manager-messaging-platform-tooling-3f848a99</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York]]></city>
    <country>US</country>
    <description><![CDATA[The Subscriptions Mission builds and evolves Spotify’s subscription products to drive sustainable growth by improving conversion, retention, and overall user value. We create seamless, personalized experiences that make it easy for users to discover, upgrade, and stay engaged with Spotify.

Messaging Platform &amp; Tooling is the system that decides what Spotify says to its 700M+ users — and how, when, and where it says it. Nearly every push notification, email, and in-app message flows through this platform, making it one of the highest-leverage systems at Spotify.

Within this space, the Selection squad sits at the core — acting as the decision engine that determines what message reaches each user in real time. You’ll join a high-performing, collaborative team of senior engineers and play a key role in shaping the next generation of this platform as we invest heavily in its future.

What You'll Do

Lead and support the Selection engineering team, focusing on growth, performance, and creating an environment where engineers can do their best work
Partner with Product, Data Science, and ML Engineering to define and deliver the technical roadmap for Selection
Guide the evolution of Selection from a rules-based system to a more advanced, signal-driven and ML-informed decision engine
Deliver platform capabilities that directly impact user engagement, retention, and conversion across Spotify
Collaborate across squads and domains to ensure seamless integration and alignment across the Subscriptions mission
Represent Selection in planning, strategy discussions, and initiative scoping tied to high-impact business goals
Balance speed, scalability, and reliability while navigating complex platform trade-offs that affect millions of users
Contribute to the broader engineering culture through hiring, architecture discussions, and cross-team collaboration

 

Who You Are

You have 3+ years of experience managing software engineers and have supported teams through growth and delivery
You bring a strong sense of ownership and think beyond execution to understand impact, trade-offs, and long-term direction
You have experience working with complex systems such as distributed systems, real-time pipelines, or platform infrastructure
You care deeply about people and create an environment built on trust, clarity, and continuous development
You communicate clearly and effectively with engineers, cross-functional partners, and senior stakeholders
You are comfortable engaging in technical discussions and asking thoughtful, probing questions
You approach ambiguity with curiosity and are energized by building in evolving and high-impact environments
You value collaboration and contribute to an inclusive, supportive team culture

Where You'll Be

This role is based in New York
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $164,448 - $234,926, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Flows]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Flows, Distributed Systems]]></skills>
    <expirationdate>2026-06-08T14:59:54.669Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Strategic Customer Solutions Architect (APAC)]]></title>
    <date>2026-04-09T14:29:36.522Z</date>
    <referencenumber>cmpgih6ce03miv2xqsgkfas3v</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/strategic-customer-solutions-architect-apac-93eec39f</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[APAC]]></city>
    <country>ES</country>
    <description><![CDATA[Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

We're seeking a Strategic Customer Solutions Architect (CSA) to own and drive the success of our highest-potential enterprise accounts. These are customers running mission-critical, highly scaled workloads on Postgres — and they need a trusted technical partner who can meet them at that level.

Strategic CSAs go deep. You'll be embedded in your customers' most complex technical challenges, helping architect solutions that scale, optimizing systems under real production pressure, and guiding organizations through critical platform migrations. You won't just advise — you'll be a hands-on partner who earns trust by delivering outcomes.

What You'll Do

Strategic Account Ownership Build and maintain deep, trust-based relationships with senior technical and executive stakeholders across a focused portfolio of strategic accounts. Develop meaningful account plans that map Supabase capabilities to long-term customer objectives, identify expansion opportunities, and ensure customers continuously realize value at scale.

Scaled Performance &amp; Reliability Partner with customers operating at significant scale to ensure their systems perform reliably under production load. Proactively identify risks before they become incidents, lead performance tuning engagements, and work cross-functionally with Supabase Support, Engineering, and Product to resolve complex platform-level issues.

Postgres Architecture &amp; Optimization Serve as the resident Postgres expert for your accounts. Lead deep-dive architectural reviews, diagnose and resolve complex performance bottlenecks, advise on schema design, indexing strategies, query optimization, and connection management. Help customers confidently push the boundaries of what they can build on Postgres and Supabase.

Security, Compliance &amp; Enterprise Deployment

Guide customers through Supabase's enterprise security capabilities, including Row Level Security (RLS) policy design, audit logging, SOC 2 and HIPAA compliance requirements, and encryption best practices. Support customers evaluating or operating on self-hosted and BYO cloud deployments, ensuring they can meet their organization's infrastructure, data residency, and compliance requirements.

Large-Scale Migrations Guide strategic customers through migrations onto Postgres and Supabase from a wide range of source systems including legacy relational databases such as Oracle and SQL Server, as well as cloud-native and NoSQL platforms like Firebase, Fauna, and PlanetScale. Own the technical migration strategy end-to-end, from assessment and planning through execution and post-migration stabilization.

Executive &amp; Stakeholder Engagement Translate deeply technical outcomes into organizational impact for engineering leaders, CTOs, and executive buyers. Navigate multi-stakeholder environments with clarity and confidence, aligning technical strategy to business goals and advocating internally on behalf of your accounts.

AI &amp; Vector Workloads

Partner with customers building AI-native applications on Supabase. Advise on vector storage architecture using pgvector, embedding pipeline design, and similarity search optimization. Help customers leverage Supabase's Vector and Analytics Buckets to build scalable, production-grade AI systems directly on Postgres.

Platform Advocacy Serve as the voice of your customers inside Supabase. Surface patterns, friction points, and opportunities to Product and Engineering. Help shape the platform roadmap by grounding feedback in the real-world demands of your most sophisticated users.

Pre-Sales Support Partner with the Growth team on strategic deals where deep technical credibility is required. Lead targeted discovery conversations, scope proof-of-value engagements for high-complexity workloads, and ensure prospective customers have a clear, confident path to production.

What We're Looking For

10+ years of relevant experience in Solutions Architecture, Database Engineering, or a closely related field, with a significant portion spent on large-scale or enterprise-grade systems.

Expert-level knowledge of PostgreSQL — including internals, performance tuning, replication, extensions, and schema design. You should be comfortable going well beyond the basics.

Demonstrated experience leading complex database migrations from a variety of source systems, including legacy relational databases (Oracle, SQL Server, MySQL) as well as cloud-native and NoSQL platforms (Firebase, Fauna, PlanetScale, or similar).

Familiarity with AI application architecture, including vector databases, embedding pipelines, and similarity search. Experience with pgvector or similar vector storage solutions is a strong plus.

Experience supporting or archi]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Postgres, Vector Search, Cloud, Oracle, SQL, NoSQL, PostgreSQL, MySQL, Python, JavaScript, React, Node.js]]></skills>
    <expirationdate>2026-06-08T14:29:36.522Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Success Engineer - NYC]]></title>
    <date>2026-04-09T14:12:00.917Z</date>
    <referencenumber>cmpgih0dm030yv2xq2m1uciqv</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-success-engineer-nyc-16416e49</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[New York City]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organizations to translate cutting edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the center of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

This role is based in NYC (office 3x a week) and we provide relocation support to new employees.

In this role, you will:

Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization

 Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

Identify and validate use cases by embedding with customer teams to understand workflows and pain points

Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

Guide value realization and measure impact through baselines, KPI definition, and post deployment reporting

Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

Help drive expansions by identifying high leverage opportunities where OpenAI’s platform can power new workflows or lines of business

Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

You’ll thrive in this role if you:

8+ years of experience in technical customer facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.

Practical experience with authentication and enterprise security concepts (SSO, domain verification, encryption, and enterprise compliance frameworks (GDPR, HIPAA, etc.)).

Understanding and familiarity with coding languages like Python or JavaScript, and comfort with REST APIs, SDKs, automation, CI/CD, containers, and cloud platforms.

Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies

Can show a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges

Have excellent project and program management instincts and can lead multi workstream initiatives with clarity and structure

Enjoy being a thought partn]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, ChatGPT, GenAI, APIs, SSO, Python, JavaScript, CI/CD, Cloud]]></skills>
    <expirationdate>2026-06-08T14:12:00.917Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Success Engineer - San Francisco]]></title>
    <date>2026-04-09T14:09:41.249Z</date>
    <referencenumber>cmpgih0c9030ov2xqxfjlqr4n</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-success-engineer-san-francisco-35c65b2e</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organizations to translate cutting edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the center of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

This role is based in San Francisco (office 3x a week) and we provide relocation support to new employees.

In this role, you will:

Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization

 Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

Identify and validate use cases by embedding with customer teams to understand workflows and pain points

Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

Guide value realization and measure impact through baselines, KPI definition, and post deployment reporting

Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

Help drive expansions by identifying high leverage opportunities where OpenAI’s platform can power new workflows or lines of business

Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

You’ll thrive in this role if you:

8+ years of experience in technical customer facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.

Practical experience with authentication and enterprise security concepts (SSO, domain verification, encryption, and enterprise compliance frameworks (GDPR, HIPAA, etc.)).

Understanding and familiarity with coding languages like Python or JavaScript, and comfort with REST APIs, SDKs, automation, CI/CD, containers, and cloud platforms.

Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies

Can show a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges

Have excellent project and program management instincts and can lead multi workstream initiatives with clarity and structure

Enjoy being a tho]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>No</remotetype>
    <skills><![CDATA[Codex, ChatGPT, GenAI, APIs, SSO, Python, JavaScript, CI/CD, Cloud]]></skills>
    <expirationdate>2026-06-08T14:09:41.249Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[AI Success Engineer - US Remote]]></title>
    <date>2026-04-09T14:09:15.425Z</date>
    <referencenumber>cmpgih0e70312v2xqfljeus7d</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/ai-success-engineer-us-remote-43af260a</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote - US]]></city>
    <country>ES</country>
    <description><![CDATA[About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organizations to translate cutting edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the center of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

This is a fully remote role in the US. 

In this role, you will:

Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization

 Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

Identify and validate use cases by embedding with customer teams to understand workflows and pain points

Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

Guide value realization and measure impact through baselines, KPI definition, and post deployment reporting

Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

Help drive expansions by identifying high leverage opportunities where OpenAI’s platform can power new workflows or lines of business

Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

You’ll thrive in this role if you:

8+ years of experience in technical customer facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.

Practical experience with authentication and enterprise security concepts (SSO, domain verification, encryption, and enterprise compliance frameworks (GDPR, HIPAA, etc.)).

Understanding and familiarity with coding languages like Python or JavaScript, and comfort with REST APIs, SDKs, automation, CI/CD, containers, and cloud platforms.

Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies

Can show a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges

Have excellent project and program management instincts and can lead multi workstream initiatives with clarity and structure

Enjoy being a thought partner for C level stakeholders while also diving deep with t]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Codex]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Codex, ChatGPT, GenAI, APIs, SSO, Python, JavaScript, CI/CD, Cloud]]></skills>
    <expirationdate>2026-06-08T14:09:15.425Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer (Go) - Auth]]></title>
    <date>2026-04-09T11:44:55.851Z</date>
    <referencenumber>cmpgih6c303mgv2xqv0s37d39</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-go-auth-913886e3</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About SupabaseSupabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

About the roleAuth, written in Go (server) and with client libraries for TypeScript, SSR and for other frameworks and technologies, is one of the most popular products in the Supabase stack. We are seeking someone to help us build new and maintain existing Auth features.

What you’ll be responsible for:Own the performance, reliability, and scalability of the Auth server across Supabase's infrastructure.

Plan and execute safe database migrations across a large fleet of Postgres instances.

Build and improve observability: metrics, tracing, alerting, and dashboards to keep the system healthy at scale.

Collaborate with platform and infrastructure teams on deployment orchestration, deployment pipelines, and AWS resource management.

Contribute to the evolution of Auth's architecture with a focus on operational excellence and long-term maintainability.

Write and review RFCs as part of our development process.

Collaborate with engineers across Supabase to ensure a seamless experience for developers using our tools.

You might be a good fit if you:(Required) Have 4+ years of professional experience writing and shipping Go in production.

(Required) Have hands-on experience building and operating services at significant scale.

(Required) Have strong relational database experience (Postgres or MySQL); Postgres experience is a bonus.

Have deep understanding of systems-level concerns: memory management, concurrency patterns, and compute resource optimization in Go.

Have experience with Kubernetes and AWS (or comparable cloud platform) in a production setting.

Have solid grasp of observability practices — metrics, distributed tracing, structured logging, and alerting (e.g., Prometheus, Grafana, OpenTelemetry).

Have experience managing database schema migrations safely at scale.

Are familiar with multi-tenant architecture patterns and the operational challenges they introduce.

Have authentication domain experience or interest is a plus, but not required.

Have good technical writing skills (RFC process is an important part of making changes to the Auth product and related infrastructure).

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Hiring ProcessWe keep things simple, async-friendly, and respectful of your time:

Apply – Our team will review your application.

Intro Call – A short video chat to get to know each other.

Interviews – Up to four calls with:

Team Leads

Future teammates

Someone cross-functional from product, growth, or engineering (depending on the role)

Someone from our leadership/founding team

Decision – We may follow up with a final question or go straight to offer.

All communication is remote and we aim to move fast.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Vector Search, GitHub, TypeScript, AWS, MySQL, Kubernetes, Cloud, OpenTelemetry]]></skills>
    <expirationdate>2026-06-08T11:44:55.851Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Senior Paralegal, Litigation]]></title>
    <date>2026-04-08T19:56:18.732Z</date>
    <referencenumber>cmpgih1ug03akv2xqy3juqfzc</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/senior-paralegal-litigation-962271f4</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[San Francisco]]></city>
    <country>US</country>
    <description><![CDATA[About the Team

OpenAI’s Legal team plays an indispensable role in advancing OpenAI's mission by navigating futuristic, foundational legal issues in AI. This is the team for you if you care deeply about doing meaningful and novel work with a team of technology lawyers. The team is composed of various backgrounds, including technology, venture capital, M&amp;A, employment, and tax law.

About the Role

We’re growing our world-class Litigation and Regulatory team and seek an experienced Senior-level Paralegal to support litigation, dispute resolution, and certain regulatory matters related to our business.  This role is highly cross-functional across OpenAI, including work across our Legal, Communications, Global Affairs, and Executive teams.  In addition, you will help develop/improve processes and programs to help our team operate efficiently.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you’ll:

Drive case management support including case team coordination, outside counsel management, overall organization and tracking, issue/risk spotting.

Conduct fact investigations including collaborating with teams/individuals throughout the company, document and data identification/collection, witness management and coordination.

Execute and advise on legal preservation workflows.

Develop/Drive process and programs that help our team operate more efficiently.

To be successful in this role, you should have:

10+ years experience as a paralegal on complex litigation and regulatory matters (including competition/antitrust) at an innovative technology company, law firm, or in-house legal department.

A bachelor's degree and/or paralegal certificate from an accredited program.

Excellent written and verbal communication skills with attention to detail and accuracy.

Ability to work independently and collaboratively in a fast-paced environment.

Ability to exercise good judgment in the face of ambiguity.

Interest in OpenAI's mission and values.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Information Technology]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[]]></skills>
    <expirationdate>2026-06-07T19:56:18.732Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Solutions Engineer, Europe]]></title>
    <date>2026-04-08T14:58:35.814Z</date>
    <referencenumber>cmpgih5iu03l8v2xq2t8aoqv9</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/solutions-engineer-europe-5573112c</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[London]]></city>
    <country>GB</country>
    <description><![CDATA[At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.

Founded in 2019, Linear has become the platform of choice for more than 25,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America and Europe, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.

As a Solutions Engineer at Linear, you will be the technical guide across the customer lifecycle, from evaluation and close through onboarding and expansion. Partnering most closely with Sales, you will drive revenue by leading technical discovery, demos, proof-of-concepts, and solution design for prospects and existing customers. You will stay engaged through onboarding to ensure technical continuity, and provide clear handoffs to Customer Success that capture context, decisions, risks, and next steps. You will also codify repeatable patterns through demo environments, migration and integration playbooks, and enablement for new sales hires.

Location &amp; work mode

This role is anchored to our London hub. We’re looking for someone who can work from our London office in Shoreditch 2–3 days per week, with flexibility around scheduling, as this role will be closely connected to in-person collaboration with our growing sales presence in the region.

What You’ll Do

Act as the customer’s technical advisor across the lifecycle, partnering with Sales and Customer Success to ensure continuity from evaluation through onboarding and expansion, with a primary focus on pre-sales revenue impact.

Lead technical discovery and architecture for strategic prospects and existing customers; translate customer workflows into Linear configuration, data model, permissions, and integration patterns.

Run pre-sales technical evaluations end-to-end: deliver tailored deep-dive demos, proof-of-concepts, security and architecture reviews, and integration workshops that remove deal risk and accelerate time to close.

Design and execute migrations and implementation plans that set customers up for long-term success; provide clear handoffs to post-sale teams (context, decisions, risks, and next steps).

Build and maintain realistic, scalable demo environments and reference configurations that mirror enterprise workflows and enable Sales to tell a credible, repeatable story.

Codify lifecycle playbooks and enablement: create technical training for sales and post-sale teams, curate exemplars, and continuously improve the technical sales motion.

What We’re Looking For

5+ years in a Solutions Engineering, Pre-Sales, or similar role at a high-growth SaaS company, with experience supporting enterprise-scale deals.

Strong hands-on experience with OAuth2 and GraphQL, data migrations, and product integrations

Excellent communication skills—able to present complex technical concepts clearly to both engineers and executives

Experience with Github and git; Linear and/or Jira strongly preferred

Proven ability to build realistic, scalable demo environments and troubleshoot production issues

CS degree or engineering background strongly preferred

Collaborative mindset with experience partnering across Sales, Product, and Customer Success teams

Comfort with SQL and scripting (e.g., Python or JavaScript)

What we offer

We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:

Competitive salary and equity

Employee-friendly equity terms

Daily meal and coffee stipend on every workday

Paid co-working space or desk

Health coverage (based on country requirements)

5 weeks paid vacation, plus local statutory holidays

4 months paid parental leave

Paid month off after 4 years &amp; every 2 years thereafter

Regular team events and off-sites

Learn how we think and work:

How we work: Designing remote work at Linear

Our hiring process: How we hire at Linear

A story about our mission: Read Me

A video series: Conversations on Quality

Karri’s Every interview: Most SaaS Companies Got AI Wrong. Linear Waited.

Read about our recent Series C Fundraise and Giving our team liquidity

Building our teams: Why and how we do work trials at Linear

Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Linear]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Linear, OAuth2, GitHub, Jira, SQL, Python, JavaScript, Workday, Notion]]></skills>
    <expirationdate>2026-06-07T14:58:35.814Z</expirationdate>
  </job>
  <job>
    <title><![CDATA[Software Engineer (Go) - Auth Product]]></title>
    <date>2026-04-08T14:16:04.915Z</date>
    <referencenumber>cmpgih6bs03mev2xqewh9cysz</referencenumber>
    <url>https://portal.theconsultingsolutions.com/vacancies/software-engineer-go-auth-product-b456882d</url>
    <company><![CDATA[Cliente Confidencial — The Consulting Solutions]]></company>
    <sourcename>Tech Talent</sourcename>
    <city><![CDATA[Remote]]></city>
    <country>ES</country>
    <description><![CDATA[About SupabaseSupabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

About the roleAuth, written in Go (server) and with client libraries for TypeScript, SSR and for other frameworks and technologies, is one of the most popular products in the Supabase stack. We are seeking someone to help us build new and maintain existing Auth features.

What you’ll be responsible for:Designing and implementing secure, scalable authentication features in Go and TypeScript.

Working across the stack: from server-side protocols to client-side libraries for frameworks like Next.js.

Contributing to the evolution of our Auth architecture, including support for OAuth, OIDC, SAML, and other protocols.

Writing and reviewing RFCs as part of our product development process.

Collaborating with engineers across Supabase to ensure a seamless experience for developers using our tools.

Supporting the community and respond to developer feedback on GitHub, Discord, and other channels.

You might be a good fit if you:(Required) Have 5+ years of Software Development experience in a professional setting.

(Required) Have 2+ years of professional experience working on an authentication system (implementing protocol support, maintenance at scale).

Have strong knowledge of Go and TypeScript (languages used daily) and Postgres.

Have strong knowledge of web technology fundamentals (cookies, sessions, JWT, HTTP, browser APIs).

Have good knowledge of and deep interest in authentication security (passwords, protocols such as OAuth, OIDC or SAML, cryptography fundamentals such as hash functions, signatures and ciphers).

Have experience working with multiple web frameworks like Next.js (or other SSR alternative in the JavaScript space) and traditional web frameworks like Ruby on Rails, Django, Laravel or equivalent (in any language).

Have good technical writing skills (RFC process is an important part of making changes to the Auth product).

What We OfferFully Remote

We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

ESOP

Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

Tech Allowance

Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

Annual Off-Sites

Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

Flexible Work

We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

280+ team members

55+ countries

20+ languages spoken

$500M raised

500,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Hiring ProcessWe keep things simple, async-friendly, and respectful of your time:

Apply – Our team will review your application.

Intro Call – A short video chat to get to know each other.

Interviews – Up to four calls with:

Team Leads

Future teammates

Someone cross-functional from product, growth, or engineering (depending on the role)

Someone from our leadership/founding team

Decision – We may follow up with a final question or go straight to offer.

All communication is remote and we aim to move fast.]]></description>
    <salary><![CDATA[]]></salary>
    <jobtype>fulltime</jobtype>
    <category><![CDATA[Postgres]]></category>
    <remotetype>Yes</remotetype>
    <skills><![CDATA[Postgres, Vector Search, GitHub, TypeScript, Next.js, OAuth, OIDC, SAML, HTTP, APIs, JavaScript, Ruby, Laravel]]></skills>
    <expirationdate>2026-06-07T14:16:04.915Z</expirationdate>
  </job>
</source>